Triple
T28211941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Garner as Murphy Jones |
E711193
|
entity |
| Predicate | actorReceivedNomination |
P25708
|
FINISHED |
| Object | Academy Award for Best Actor |
—
|
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: Academy Award for Best Actor | Statement: [James Garner as Murphy Jones, actorReceivedNomination, Academy Award for Best Actor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: actorReceivedNomination Context triple: [James Garner as Murphy Jones, actorReceivedNomination, Academy Award for Best Actor]
-
A.
nominationReceivedBy
chosen
Indicates that an entity has received a nomination from another entity or source.
-
B.
nomineeSelectedAt
Indicates the specific time or event at which a nominee is formally chosen or selected.
-
C.
nominationPhaseParticipation
Indicates participation by an entity in the nomination phase of a process, contest, or selection procedure.
-
D.
nominated
Indicates that one entity formally proposes or selects another entity for a position, role, award, or recognition.
-
E.
nominationOutcome
Indicates the result or status that a nomination process yields for a candidate or entity.
- 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_69efb51cb5288190818c1f63a266af11 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f64312f0f081909d8cb61e9cd52b16 |
completed | May 2, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69f641e0fde08190bf06a1c5b388aa84 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 10:40 p.m.