Triple
T12631832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coogan's Bluff |
E301661
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Howard Rodman
Howard Rodman was an American screenwriter and television writer known for his work on numerous films and TV series from the 1950s through the 1970s.
|
E1067117
|
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 Rodman | Statement: [Coogan's Bluff, screenwriter, Howard Rodman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Howard Rodman Context triple: [Coogan's Bluff, screenwriter, Howard Rodman]
-
A.
Robert Hohman
Robert Hohman is an American entrepreneur best known as the co-founder and former CEO of Glassdoor, a popular platform for anonymous employee reviews and salary information.
-
B.
Ron Hagen
Ron Hagen is a cinematographer best known for his work on the Australian film "Romper Stomper."
-
C.
Jerry Grote
Jerry Grote was a standout defensive catcher and key contributor for the New York Mets during their 1969 World Series championship season.
-
D.
Howard Sherman
Howard Sherman is an American businessman and film producer best known as the husband of actress Sela Ward.
-
E.
Ted Daughety
Ted Daughety is an American physician and pulmonologist best known as the husband of Kansas Governor Laura Kelly.
- 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 Rodman Triple: [Coogan's Bluff, screenwriter, Howard Rodman]
Generated description
Howard Rodman was an American screenwriter and television writer known for his work on numerous films and TV series from the 1950s through the 1970s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Howard Rodman Target entity description: Howard Rodman was an American screenwriter and television writer known for his work on numerous films and TV series from the 1950s through the 1970s.
-
A.
Robert Hohman
Robert Hohman is an American entrepreneur best known as the co-founder and former CEO of Glassdoor, a popular platform for anonymous employee reviews and salary information.
-
B.
Ron Hagen
Ron Hagen is a cinematographer best known for his work on the Australian film "Romper Stomper."
-
C.
Jerry Grote
Jerry Grote was a standout defensive catcher and key contributor for the New York Mets during their 1969 World Series championship season.
-
D.
Howard Sherman
Howard Sherman is an American businessman and film producer best known as the husband of actress Sela Ward.
-
E.
Ted Daughety
Ted Daughety is an American physician and pulmonologist best known as the husband of Kansas Governor Laura Kelly.
- 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9610e4f408190946f37325d69375c |
completed | April 10, 2026, 8:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c6f404888190b7bb47bff1a7c1e1 |
completed | May 3, 2026, 10:06 p.m. |
| NEDg | Description generation | batch_69f7c7b9e4888190822501d439df142a |
completed | May 3, 2026, 10:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c83e31d4819094209406fc99456a |
completed | May 3, 2026, 10:12 p.m. |
Created at: April 9, 2026, 5:15 p.m.