Triple
T2406083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melissa Leo |
E50278
|
entity |
| Predicate | hasActedIn |
P15620
|
FINISHED |
| Object | The Fighter |
E48013
|
NE FINISHED |
How this triple was built (2 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: The Fighter | Statement: [Melissa Leo, hasActedIn, The Fighter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Fighter Context triple: [Melissa Leo, hasActedIn, The Fighter]
-
A.
The Fighter
chosen
The Fighter is a 2010 biographical sports drama film directed by David O. Russell, chronicling the turbulent boxing career of Micky Ward and his relationship with his half-brother and trainer Dicky Eklund.
-
B.
The Fight
The Fight is Norman Mailer’s acclaimed nonfiction book that chronicles the 1974 “Rumble in the Jungle” heavyweight boxing match between Muhammad Ali and George Foreman.
-
C.
First to Fight
"First to Fight" is a well-known motto of the United States Marine Corps that emphasizes its role as an elite force ready for rapid deployment and early engagement in combat.
-
D.
Warrior
"Warrior" is a song by the R&B duo Chloe x Halle, known for its empowering themes and soulful, harmonized vocals.
-
E.
Warrior
Warrior is a British comics anthology magazine best known for serializing influential works like Alan Moore’s "V for Vendetta" and "Marvelman" in the early 1980s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a88b0339a88190a1207333cd271cc9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc8fb78408190b99fa8b4dfaaa75d |
completed | March 7, 2026, 6:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af1f7d18f88190bc19aa6b7b687b8e |
completed | March 9, 2026, 7:29 p.m. |
Created at: March 4, 2026, 7:58 p.m.