Triple
T3023267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newman |
E82513
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Kim Newman
Kim Newman is a British author, film critic, and journalist best known for his horror and alternate-history fiction, including the "Anno Dracula" series.
|
E320876
|
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: Kim Newman | Statement: [Newman, hasNotableBearer, Kim Newman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kim Newman Context triple: [Newman, hasNotableBearer, Kim Newman]
-
A.
Catherine Fenton
Catherine Fenton was an Irish noblewoman of the early 17th century, best known as the mother of the scientist and natural philosopher Robert Boyle.
-
B.
Leslie Newman
Leslie Newman is a screenwriter best known for co-writing several of the Christopher Reeve-era Superman films, including Superman III.
-
C.
Beth Nolan
Beth Nolan is an American lawyer and legal scholar who served as White House Counsel to President Bill Clinton.
-
D.
Nicola Marlow
Nicola Marlow is a fictional character from the British television serial "The Singing Detective," which blends noir mystery with psychological drama.
-
E.
Jane Baxter
Jane Baxter was a British actress known for her work in stage and film during the mid-20th century.
- 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: Kim Newman Triple: [Newman, hasNotableBearer, Kim Newman]
Generated description
Kim Newman is a British author, film critic, and journalist best known for his horror and alternate-history fiction, including the "Anno Dracula" series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kim Newman Target entity description: Kim Newman is a British author, film critic, and journalist best known for his horror and alternate-history fiction, including the "Anno Dracula" series.
-
A.
Catherine Fenton
Catherine Fenton was an Irish noblewoman of the early 17th century, best known as the mother of the scientist and natural philosopher Robert Boyle.
-
B.
Leslie Newman
Leslie Newman is a screenwriter best known for co-writing several of the Christopher Reeve-era Superman films, including Superman III.
-
C.
Beth Nolan
Beth Nolan is an American lawyer and legal scholar who served as White House Counsel to President Bill Clinton.
-
D.
Nicola Marlow
Nicola Marlow is a fictional character from the British television serial "The Singing Detective," which blends noir mystery with psychological drama.
-
E.
Jane Baxter
Jane Baxter was a British actress known for her work in stage and film during the mid-20th century.
- 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_69ad8b1fb34081908c1b873e2b7273e1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9ab8e0a48190ac79e674abd181cf |
completed | March 8, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1deafdcb881908174331d5bfc6349 |
completed | March 11, 2026, 9:29 p.m. |
| NEDg | Description generation | batch_69b1df36fc448190856cda08f83feded |
completed | March 11, 2026, 9:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1dfae6bb48190828820eae70e2f84 |
completed | March 11, 2026, 9:33 p.m. |
Created at: March 8, 2026, 3 p.m.