Triple
T1235376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fantasy |
E26535
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Dave Hall
Dave Hall is a fantasy author known for creating imaginative, otherworldly stories within the speculative fiction genre.
|
E169091
|
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: Dave Hall | Statement: [Fantasy, writer, Dave Hall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dave Hall Context triple: [Fantasy, writer, Dave Hall]
-
A.
Brad Hall
Brad Hall is an American actor, comedian, writer, and director known for his work on "Saturday Night Live" and for co-creating the sitcom "The Single Guy."
-
B.
Andrew McCollum
Andrew McCollum is an American entrepreneur and software engineer best known as one of the original co-founders of Facebook.
-
C.
Mike Krieger
Mike Krieger is a Brazilian-American entrepreneur and software engineer best known as the co-founder and former CTO of the photo-sharing social media platform Instagram.
-
D.
Chris Hall
Chris Hall is a music video director known for directing the video for Common's influential hip-hop track "I Used to Love H.E.R."
-
E.
Mike Hunt
Mike Hunt is a name best known as a long-running prank or joke name in English-speaking popular culture due to its phonetic resemblance to a vulgar phrase.
- 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: Dave Hall Triple: [Fantasy, writer, Dave Hall]
Generated description
Dave Hall is a fantasy author known for creating imaginative, otherworldly stories within the speculative fiction genre.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dave Hall Target entity description: Dave Hall is a fantasy author known for creating imaginative, otherworldly stories within the speculative fiction genre.
-
A.
Brad Hall
Brad Hall is an American actor, comedian, writer, and director known for his work on "Saturday Night Live" and for co-creating the sitcom "The Single Guy."
-
B.
Andrew McCollum
Andrew McCollum is an American entrepreneur and software engineer best known as one of the original co-founders of Facebook.
-
C.
Mike Krieger
Mike Krieger is a Brazilian-American entrepreneur and software engineer best known as the co-founder and former CTO of the photo-sharing social media platform Instagram.
-
D.
Chris Hall
Chris Hall is a music video director known for directing the video for Common's influential hip-hop track "I Used to Love H.E.R."
-
E.
Mike Hunt
Mike Hunt is a name best known as a long-running prank or joke name in English-speaking popular culture due to its phonetic resemblance to a vulgar phrase.
- 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_69a4948571c88190a9191e451e6035fd |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be5e421081908f2432528019db25 |
completed | March 1, 2026, 10:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad1591390881909593666218a3533b |
completed | March 8, 2026, 6:22 a.m. |
| NEDg | Description generation | batch_69ad16bc23808190ba26aa98764f3186 |
completed | March 8, 2026, 6:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad172912488190b77c77e4e61e0183 |
completed | March 8, 2026, 6:28 a.m. |
Created at: March 1, 2026, 7:47 p.m.