Triple
T3810480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Keighley |
E93120
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
G Men
G Men is a 1935 American crime film starring James Cagney as a law school graduate who joins the FBI to battle organized crime.
|
E390484
|
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: G Men | Statement: [William Keighley, notableWork, G Men]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: G Men Context triple: [William Keighley, notableWork, G Men]
-
A.
The Men
The Men is a 1950 American drama film notable for being Marlon Brando’s feature film debut and for its realistic portrayal of a paralyzed World War II veteran’s struggles to readjust to civilian life.
-
B.
Gentlemen
Gentlemen is the nickname and mascot identity for the men's athletic teams of Centenary College of Louisiana.
-
C.
Green Army Men
Green Army Men are small, green plastic toy soldier figurines popularized as loyal, comedic military characters in the Toy Story film franchise.
-
D.
Soul Men
Soul Men is a 2008 American musical comedy film starring Samuel L. Jackson and Bernie Mac as former soul singers reuniting for a tribute performance.
-
E.
Men in Red
Men in Red is a popular nickname for Chicago Fire FC, the Major League Soccer club based in Chicago.
- 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: G Men Triple: [William Keighley, notableWork, G Men]
Generated description
G Men is a 1935 American crime film starring James Cagney as a law school graduate who joins the FBI to battle organized crime.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: G Men Target entity description: G Men is a 1935 American crime film starring James Cagney as a law school graduate who joins the FBI to battle organized crime.
-
A.
The Men
The Men is a 1950 American drama film notable for being Marlon Brando’s feature film debut and for its realistic portrayal of a paralyzed World War II veteran’s struggles to readjust to civilian life.
-
B.
Gentlemen
Gentlemen is the nickname and mascot identity for the men's athletic teams of Centenary College of Louisiana.
-
C.
Green Army Men
Green Army Men are small, green plastic toy soldier figurines popularized as loyal, comedic military characters in the Toy Story film franchise.
-
D.
Soul Men
Soul Men is a 2008 American musical comedy film starring Samuel L. Jackson and Bernie Mac as former soul singers reuniting for a tribute performance.
-
E.
Men in Red
Men in Red is a popular nickname for Chicago Fire FC, the Major League Soccer club based in Chicago.
- 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_69aed96a60088190ab1df8390fffc935 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aee80e178081908cff71223bbf6c43 |
completed | March 9, 2026, 3:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4fb33db9c81908b462ee80aaaad34 |
completed | March 14, 2026, 6:07 a.m. |
| NEDg | Description generation | batch_69b4fc08d65081908953482b10fa5611 |
completed | March 14, 2026, 6:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4fc7d8cf081909c4447818b5363c5 |
completed | March 14, 2026, 6:13 a.m. |
Created at: March 9, 2026, 3:16 p.m.