Triple
T33504881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Fighter |
E858084
|
entity |
| Predicate | awardRecipientSupportingActress |
P8119
|
FINISHED |
| Object | Melissa Leo |
—
|
NE NERFINISHED |
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: Melissa Leo | Statement: [The Fighter, awardRecipientSupportingActress, Melissa Leo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardRecipientSupportingActress Context triple: [The Fighter, awardRecipientSupportingActress, Melissa Leo]
-
A.
bestSupportingActressWinner
chosen
Indicates that the subject is the person who won the Best Supporting Actress award for the specified work, year, or event.
-
B.
supportingActressNominee
Indicates that a person has been nominated for an award in the category of supporting actress.
-
C.
bestSupportingActressFilm
Indicates the film for which a person received or was nominated for a Best Supporting Actress award.
-
D.
bestSupportingActorWinner
Indicates that an entity has received the award for Best Supporting Actor for a particular work or event.
-
E.
bestSupportingActorWinningFilm
Indicates that a film is the one for which an actor won the Best Supporting Actor award.
- F. None of above.
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_69f3497660508190a541826a81f7e9ab |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd09840ea88190a2e6d7e577ade717 |
completed | May 7, 2026, 9:52 p.m. |
| PD | Predicate disambiguation | batch_69fd064c49988190afadddbd04d7cb94 |
completed | May 7, 2026, 9:38 p.m. |
Created at: May 1, 2026, 1:38 a.m.