Triple
T10514754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crazy Heart |
E248002
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Tommy Sweet
Tommy Sweet is a successful country music star and former protégé of washed-up singer Bad Blake in the film "Crazy Heart."
|
E870860
|
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: Tommy Sweet | Statement: [Crazy Heart, character, Tommy Sweet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tommy Sweet Context triple: [Crazy Heart, character, Tommy Sweet]
-
A.
Tommy Brue
Tommy Brue is a middle-aged British banker entangled in espionage and moral ambiguity in John le Carré’s spy novel "A Most Wanted Man."
-
B.
Tommy Vega
Tommy Vega is a fictional paramedic captain and devoted mother featured in the television drama series "9-1-1: Lone Star."
-
C.
Tommy Bupp
Tommy Bupp was an American child actor active in the 1930s and 1940s, appearing in numerous Hollywood films during that era.
-
D.
Tommy Greene
Tommy Greene is a former Major League Baseball pitcher best known for his time with the Philadelphia Phillies, including throwing a no-hitter in 1991.
-
E.
Tommy Henrich
Tommy Henrich was an American Major League Baseball outfielder and clutch hitter best known for his years with the New York Yankees in the 1930s and 1940s.
- 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: Tommy Sweet Triple: [Crazy Heart, character, Tommy Sweet]
Generated description
Tommy Sweet is a successful country music star and former protégé of washed-up singer Bad Blake in the film "Crazy Heart."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tommy Sweet Target entity description: Tommy Sweet is a successful country music star and former protégé of washed-up singer Bad Blake in the film "Crazy Heart."
-
A.
Tommy Brue
Tommy Brue is a middle-aged British banker entangled in espionage and moral ambiguity in John le Carré’s spy novel "A Most Wanted Man."
-
B.
Tommy Vega
Tommy Vega is a fictional paramedic captain and devoted mother featured in the television drama series "9-1-1: Lone Star."
-
C.
Tommy Bupp
Tommy Bupp was an American child actor active in the 1930s and 1940s, appearing in numerous Hollywood films during that era.
-
D.
Tommy Greene
Tommy Greene is a former Major League Baseball pitcher best known for his time with the Philadelphia Phillies, including throwing a no-hitter in 1991.
-
E.
Tommy Henrich
Tommy Henrich was an American Major League Baseball outfielder and clutch hitter best known for his years with the New York Yankees in the 1930s and 1940s.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509cade0c81908fcbd54a90106bf9 |
completed | April 7, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d933e4ae048190be51a02c571fab8b |
completed | April 10, 2026, 5:31 p.m. |
| NEDg | Description generation | batch_69d93802a4488190aa86ae209650d4e7 |
completed | April 10, 2026, 5:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d938fcc3c48190a4acaaf75c1aa304 |
completed | April 10, 2026, 5:53 p.m. |
Created at: April 6, 2026, 12:27 p.m.