Triple
T4347203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No Name on the Bullet (1959 film) |
E97933
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Howard Pine
Howard Pine was a film producer active in mid-20th-century American cinema.
|
E432475
|
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: Howard Pine | Statement: [No Name on the Bullet (1959 film), producer, Howard Pine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Howard Pine Context triple: [No Name on the Bullet (1959 film), producer, Howard Pine]
-
A.
Howard Sherman
Howard Sherman is an American businessman and film producer best known as the husband of actress Sela Ward.
-
B.
William Hornbeck
William Hornbeck was an influential American film editor known for his work on numerous classic Hollywood films and for helping to shape modern editing techniques.
-
C.
Percy Hilburn
Percy Hilburn was a cinematographer active during the silent film era, known for his work on major productions such as the 1925 epic "Ben-Hur: A Tale of the Christ."
-
D.
Charles Hart
Charles Hart is a British lyricist best known for writing the lyrics to Andrew Lloyd Webber’s hit musical "The Phantom of the Opera."
-
E.
Alex Hannum
Alex Hannum was an American professional basketball coach and former player best known for leading multiple teams, including the St. Louis Hawks and Philadelphia 76ers, to NBA championships.
- 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: Howard Pine Triple: [No Name on the Bullet (1959 film), producer, Howard Pine]
Generated description
Howard Pine was a film producer active in mid-20th-century American cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Howard Pine Target entity description: Howard Pine was a film producer active in mid-20th-century American cinema.
-
A.
Howard Sherman
Howard Sherman is an American businessman and film producer best known as the husband of actress Sela Ward.
-
B.
William Hornbeck
William Hornbeck was an influential American film editor known for his work on numerous classic Hollywood films and for helping to shape modern editing techniques.
-
C.
Percy Hilburn
Percy Hilburn was a cinematographer active during the silent film era, known for his work on major productions such as the 1925 epic "Ben-Hur: A Tale of the Christ."
-
D.
Charles Hart
Charles Hart is a British lyricist best known for writing the lyrics to Andrew Lloyd Webber’s hit musical "The Phantom of the Opera."
-
E.
Alex Hannum
Alex Hannum was an American professional basketball coach and former player best known for leading multiple teams, including the St. Louis Hawks and Philadelphia 76ers, to NBA championships.
- 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_69b34548402c819085ab68b27c235a87 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3518d6728819084a2f40ae0bd3ac8 |
completed | March 12, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5dba958b88190b1b4efe4274cd060 |
completed | March 14, 2026, 10:05 p.m. |
| NEDg | Description generation | batch_69b5dc1eedc08190b50b72b59cf1dcf0 |
completed | March 14, 2026, 10:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5dcbf4d5081908d24bce8e2769124 |
completed | March 14, 2026, 10:10 p.m. |
Created at: March 12, 2026, 11:15 p.m.