Triple
T12091307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neil Clarke |
E287947
|
entity |
| Predicate | awardReceived |
P11
|
FINISHED |
| Object |
Hugo Award for Best Professional Editor, Short Form
The Hugo Award for Best Professional Editor, Short Form is a prestigious science fiction and fantasy award honoring editors of short-length works such as magazines, anthologies, and short fiction.
|
E966016
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Hugo Award for Best Professional Editor, Short Form | Statement: [Neil Clarke, awardReceived, Hugo Award for Best Professional Editor, Short Form]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hugo Award for Best Professional Editor, Short Form Context triple: [Neil Clarke, awardReceived, Hugo Award for Best Professional Editor, Short Form]
-
A.
Hugo Award for Best Editor, Long Form
The Hugo Award for Best Editor, Long Form is a prestigious annual science fiction and fantasy award recognizing outstanding editing of novel-length works.
-
B.
Hugo Award for Best Semiprozine
The Hugo Award for Best Semiprozine is a major science fiction and fantasy honor recognizing excellence in semi-professional magazines that publish genre fiction, non-fiction, and related content.
-
C.
Hugo Award for Best Novelette
The Hugo Award for Best Novelette is a prestigious science fiction and fantasy literary prize presented annually for outstanding works of medium-length fiction.
-
D.
Hugo Award for Best Short Story
The Hugo Award for Best Short Story is a prestigious annual science fiction and fantasy literary prize honoring the year’s outstanding short work in the genre.
-
E.
Hugo Award for Best Related Work
The Hugo Award for Best Related Work is a major science fiction and fantasy honor recognizing outstanding non-fiction or critical works related to the genre, such as essays, biographies, and reference books.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hugo Award for Best Professional Editor, Short Form Triple: [Neil Clarke, awardReceived, Hugo Award for Best Professional Editor, Short Form]
Generated description
The Hugo Award for Best Professional Editor, Short Form is a prestigious science fiction and fantasy award honoring editors of short-length works such as magazines, anthologies, and short fiction.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hugo Award for Best Professional Editor, Short Form Target entity description: The Hugo Award for Best Professional Editor, Short Form is a prestigious science fiction and fantasy award honoring editors of short-length works such as magazines, anthologies, and short fiction.
-
A.
Hugo Award for Best Editor, Long Form
The Hugo Award for Best Editor, Long Form is a prestigious annual science fiction and fantasy award recognizing outstanding editing of novel-length works.
-
B.
Hugo Award for Best Semiprozine
The Hugo Award for Best Semiprozine is a major science fiction and fantasy honor recognizing excellence in semi-professional magazines that publish genre fiction, non-fiction, and related content.
-
C.
Hugo Award for Best Novelette
The Hugo Award for Best Novelette is a prestigious science fiction and fantasy literary prize presented annually for outstanding works of medium-length fiction.
-
D.
Hugo Award for Best Short Story
The Hugo Award for Best Short Story is a prestigious annual science fiction and fantasy literary prize honoring the year’s outstanding short work in the genre.
-
E.
Hugo Award for Best Related Work
The Hugo Award for Best Related Work is a major science fiction and fantasy honor recognizing outstanding non-fiction or critical works related to the genre, such as essays, biographies, and reference books.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9151797988190b0d007ea806bcf02 |
completed | April 10, 2026, 3:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f66d1b44819091f638d2a621ecde |
completed | May 2, 2026, 1:04 p.m. |
| NEDg | Description generation | batch_69f600b51f488190a85a8f10f190b3c0 |
completed | May 2, 2026, 1:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f601ef0a9c8190ac922562a8856def |
completed | May 2, 2026, 1:53 p.m. |
Created at: April 8, 2026, 9:48 p.m.