Triple
T33570855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jessica Chastain as Sara |
E859893
|
entity |
| Predicate | portrayedByAwardStatusCurrent |
P196633
|
FINISHED |
| Object | Oscar-winning actress |
—
|
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: Oscar-winning actress | Statement: [Jessica Chastain as Sara, portrayedByAwardStatusCurrent, Oscar-winning actress]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portrayedByAwardStatusCurrent Context triple: [Jessica Chastain as Sara, portrayedByAwardStatusCurrent, Oscar-winning actress]
-
A.
portrayedByAwardStatusAtRelease
Indicates that the subject is portrayed by an entity whose award status (e.g., nominated, winning, none) is specified as it was at the time of the work’s release.
-
B.
portrayedByWonAward
chosen
Indicates that the person who portrayed a character or role received an award for that performance.
-
C.
portrayedByActiveIn
Indicates that an entity is portrayed by a performer who is currently active or participating in the relevant context or production.
-
D.
portrayedBy
Indicates that one entity serves as the actor or performer who represents or plays the role of another entity in a work or medium.
-
E.
portrayedByAlsoPlays
Indicates that the actor who portrays a given character also plays another specified role or character.
- 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_69f3497c1d288190a844ea699914e038 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fedd5a5f4c8190acce88db56303703 |
completed | May 9, 2026, 7:08 a.m. |
| PD | Predicate disambiguation | batch_69fed910b31c8190ae837163d146738d |
completed | May 9, 2026, 6:49 a.m. |
Created at: May 1, 2026, 1:40 a.m.