Triple
T24555748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Best Supporting Actress |
E607511
|
entity |
| Predicate | hasTypicalEligibility |
P84
|
FINISHED |
| Object | actress credited in a supporting role |
—
|
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: actress credited in a supporting role | Statement: [Best Supporting Actress, hasTypicalEligibility, actress credited in a supporting role]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalEligibility Context triple: [Best Supporting Actress, hasTypicalEligibility, actress credited in a supporting role]
-
A.
eligibilityLevel
Indicates the degree or tier of qualification an entity has for a given benefit, service, or status.
-
B.
eligibility
chosen
Indicates that an entity meets the required conditions or qualifications to participate in, receive, or perform something.
-
C.
eligibilityContext
Indicates the situational or conditional factors under which an entity qualifies for or is considered eligible for something.
-
D.
customaryEligibility
Indicates that an entity qualifies for something based on established customs, norms, or usual practice rather than formal or exceptional criteria.
-
E.
eligibleOn
Indicates the date or condition from which something qualifies to begin or be considered valid or applicable.
- 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_69e2c4cae1b88190825e88d5ce8aa61e |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a8f1fb9c819086b5bd0b03a853e6 |
completed | April 30, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b99e7c8190ba7e2dc8729a314a |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:27 a.m.