Triple
T33570854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jessica Chastain as Sara |
E859893
|
entity |
| Predicate | portrayedByAwardStatusAtRelease |
P198298
|
FINISHED |
| Object | Oscar-nominated 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-nominated actress | Statement: [Jessica Chastain as Sara, portrayedByAwardStatusAtRelease, Oscar-nominated actress]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portrayedByAwardStatusAtRelease Context triple: [Jessica Chastain as Sara, portrayedByAwardStatusAtRelease, Oscar-nominated actress]
-
A.
portrayedByWonAward
Indicates that the person who portrayed a character or role received an award for that performance.
-
B.
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.
-
C.
portrayalAnnouncedBy
Indicates that an announcement was made by a specific agent about a particular portrayal (e.g., a role, depiction, or representation).
-
D.
playedByAtRelease
Indicates that a role or character in a work was performed by a specific actor at the time of the work’s original release.
-
E.
awardRecognitionForPortrayal
Indicates that recognition or an award is given to someone specifically for their performance or depiction of a particular role or subject.
- F. None of above. chosen
Provenance (4 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_69fed83b1d188190a318b0ad3003200a |
completed | May 9, 2026, 6:46 a.m. |
| PD | Predicate disambiguation | batch_69fed78e03548190b6e6ad93ae8d131d |
completed | May 9, 2026, 6:43 a.m. |
| PDg | Predicate description generation | batch_69fed83a3b8c819092a3bd1ca9d9b38b |
completed | May 9, 2026, 6:46 a.m. |
Created at: May 1, 2026, 1:40 a.m.