Triple
T32570685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jordan Horowitz |
E832504
|
entity |
| Predicate | awardNominatedBy |
P110256
|
FINISHED |
| Object | Academy of Motion Picture Arts and Sciences |
—
|
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 of Motion Picture Arts and Sciences | Statement: [Jordan Horowitz, awardNominatedBy, Academy of Motion Picture Arts and Sciences]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardNominatedBy Context triple: [Jordan Horowitz, awardNominatedBy, Academy of Motion Picture Arts and Sciences]
-
A.
nominatedIn
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.
academyAwardNominations
Indicates that an entity has received one or more nominations for an Academy Award (Oscars).
-
C.
awardNominationForProducedWork
Indicates that an entity has received a nomination for an award specifically in recognition of a work it produced.
-
D.
awardReceivedByCastMember
Indicates that a specific award was received by a member of a production’s cast.
-
E.
awardNominator
chosen
Indicates that one entity is the person or organization that nominated another entity for an 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_69f34927bb308190ad94da1b11cad13c |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fcc4b700748190ae00b21d09c96695 |
completed | May 7, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fcb0f9d3d881908a049475182fb039 |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 1, 2026, 1:03 a.m.