Triple
T26729781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Ellen Burstyn Show |
E673936
|
entity |
| Predicate | leadActorAwardStatus |
P40636
|
FINISHED |
| Object | Ellen Burstyn is an Academy Award–winning actress |
—
|
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 is an Academy Award–winning actress | Statement: [The Ellen Burstyn Show, leadActorAwardStatus, Ellen Burstyn is an Academy Award–winning actress]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadActorAwardStatus Context triple: [The Ellen Burstyn Show, leadActorAwardStatus, Ellen Burstyn is an Academy Award–winning actress]
-
A.
leadActorAwarded
chosen
Indicates that the person in the lead actor role has received an award for their performance.
-
B.
leadActorNominee
Indicates that an entity was nominated for a lead acting role in relation to a particular work or award.
-
C.
leadingActressNominee
Indicates that a person has been nominated for an award in the leading actress category for a particular work or performance.
-
D.
leadCharacterStatus
Indicates the role or condition of an entity when it serves as the primary or central character in a narrative or context.
-
E.
leadActorOfWinningFilm
Indicates that a person is the lead actor in a film that has won a specified award or competition.
- 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_69f621fcea1481909b6f8b3af1ee6820 |
completed | May 2, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69f620debeb48190b7db395fb86cf8d9 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 27, 2026, 3:44 a.m.