Triple
T1227577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cinderella Man |
E26359
|
entity |
| Predicate | portrays |
P264
|
FINISHED |
| Object |
Joe Gould
Joe Gould was the real-life boxing manager best known for guiding heavyweight champion James J. Braddock during his improbable rise in the 1930s.
|
E164464
|
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: Joe Gould | Statement: [Cinderella Man, portrays, Joe Gould]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Gould Context triple: [Cinderella Man, portrays, Joe Gould]
-
A.
George Merrill
George Merrill is an American songwriter best known for co-writing Whitney Houston’s hit songs “How Will I Know” and “I Wanna Dance with Somebody (Who Loves Me).”
-
B.
Don Brochu
Don Brochu is a film editor best known for his work on major Hollywood movies, including the hit thriller "The Bodyguard."
-
C.
William Nolan
William Nolan is an editor known for his work on editions of classic adventure literature, including "The Mark of Zorro."
-
D.
Clay Benchley
Clay Benchley is one of the children of Peter Benchley, the American author best known for writing the novel "Jaws."
-
E.
Sidney Verba
Sidney Verba was a prominent American political scientist renowned for his pioneering work on political participation, comparative politics, and civic culture.
- 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: Joe Gould Triple: [Cinderella Man, portrays, Joe Gould]
Generated description
Joe Gould was the real-life boxing manager best known for guiding heavyweight champion James J. Braddock during his improbable rise in the 1930s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joe Gould Target entity description: Joe Gould was the real-life boxing manager best known for guiding heavyweight champion James J. Braddock during his improbable rise in the 1930s.
-
A.
George Merrill
George Merrill is an American songwriter best known for co-writing Whitney Houston’s hit songs “How Will I Know” and “I Wanna Dance with Somebody (Who Loves Me).”
-
B.
Don Brochu
Don Brochu is a film editor best known for his work on major Hollywood movies, including the hit thriller "The Bodyguard."
-
C.
William Nolan
William Nolan is an editor known for his work on editions of classic adventure literature, including "The Mark of Zorro."
-
D.
Clay Benchley
Clay Benchley is one of the children of Peter Benchley, the American author best known for writing the novel "Jaws."
-
E.
Sidney Verba
Sidney Verba was a prominent American political scientist renowned for his pioneering work on political participation, comparative politics, and civic culture.
- 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_69a49484688c8190a1bf285eb396a8b6 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be3b32a08190a36e96a3e51976eb |
completed | March 1, 2026, 10:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad014954b08190a787d7e03e503d8d |
completed | March 8, 2026, 4:55 a.m. |
| NEDg | Description generation | batch_69ad039c5d788190aa10636e2827b489 |
completed | March 8, 2026, 5:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad03fa7b0c8190906ed79f24723216 |
completed | March 8, 2026, 5:07 a.m. |
Created at: March 1, 2026, 7:47 p.m.