Triple
T30524728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Actress (won by Jennifer Lawrence) |
E776799
|
entity |
| Predicate | awardedToNationality |
P40096
|
FINISHED |
| Object | American 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: American actress | Statement: [Academy Award for Best Actress (won by Jennifer Lawrence), awardedToNationality, American actress]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardedToNationality Context triple: [Academy Award for Best Actress (won by Jennifer Lawrence), awardedToNationality, American actress]
-
A.
nationalityOfWinner
chosen
Indicates the country or nationality associated with the winner of a given event or competition.
-
B.
representsCountryInAward
Indicates that an entity serves as the representative of a specific country in the context of a particular award or award event.
-
C.
hasLaureateCitizenship
Indicates that a laureate holds or has held citizenship in a specified country or political entity.
-
D.
nominatedPersonNationality
Indicates that the specified nationality is the country or national identity of the person who has been nominated.
-
E.
awardedToForeigners
Indicates that an award, honor, or recognition is given to individuals who are not citizens or nationals of the awarding entity’s country.
- 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_69f2249b23c4819087fa85496d92f43f |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7a225a77c81908f8953ccfeb14336 |
completed | May 3, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69f7a06d4f108190bae3ab9ae431d2c7 |
completed | May 3, 2026, 7:22 p.m. |
Created at: April 29, 2026, 8:17 p.m.