Triple
T26729682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Actress for Same Time, Next Year |
E673932
|
entity |
| Predicate | leadRolePerformer |
P6108
|
FINISHED |
| Object | Ellen Burstyn |
—
|
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: Ellen Burstyn | Statement: [Academy Award for Best Actress for Same Time, Next Year, leadRolePerformer, Ellen Burstyn]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadRolePerformer Context triple: [Academy Award for Best Actress for Same Time, Next Year, leadRolePerformer, Ellen Burstyn]
-
A.
leadCharacterCaste
Indicates that the lead character in a work belongs to a specified caste.
-
B.
performerCreditedAs
Indicates that a performer is associated with a work under a specific credited name or alias.
-
C.
leadActorRolePattern
Indicates a recurring or characteristic type of role that an actor typically plays as a leading performer in productions.
-
D.
leadActress
chosen
Indicates that the subject is the primary female performer in the specified film, show, or production.
-
E.
leadActorOfAdaptation
Indicates that a person is the main actor in a specific adaptation of a work (such as a film, series, or stage version).
- 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_69eecda57ab481909424e98f2835e7d8 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f618401d2481908b10199b30333192 |
completed | May 2, 2026, 3:29 p.m. |
| PD | Predicate disambiguation | batch_69f60b8dfa0c8190864e1a940024d0a0 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 3:44 a.m.