Triple
T14520188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In the Line of Fire |
E340628
|
entity |
| Predicate | johnMalkovichNomination |
P32504
|
FINISHED |
| Object | Best Supporting Actor for playing Mitch Leary |
—
|
LITERAL 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: Best Supporting Actor for playing Mitch Leary | Statement: [In the Line of Fire, johnMalkovichNomination, Best Supporting Actor for playing Mitch Leary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: johnMalkovichNomination Context triple: [In the Line of Fire, johnMalkovichNomination, Best Supporting Actor for playing Mitch Leary]
-
A.
nominatedIn
chosen
Indicates that an entity has been formally put forward as a candidate for an award, position, or recognition within a specific event, context, or time period.
-
B.
leadActorNominee
Indicates that an entity was nominated for a lead acting role in relation to a particular work or award.
-
C.
bestPictureNominee
Indicates that a film was officially nominated for the Best Picture award in a given awards event.
-
D.
nominationReceivedBy
Indicates that an entity has received a nomination from another entity or source.
-
E.
leadingActressNominee
Indicates that a person has been nominated for an award in the leading actress category for a particular work or performance.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de9a70b15c81908773633e989ef704 |
completed | April 14, 2026, 7:50 p.m. |
| PD | Predicate disambiguation | batch_69de5c518fc08190a6ce4d8be05c4c5d |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:22 a.m.