Triple
T30767058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olivier Award for Best Revival for "After the Dance" (as director of the production) |
E783402
|
entity |
| Predicate | authorOfWorkAwarded |
P25299
|
FINISHED |
| Object | Terence Rattigan |
—
|
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: Terence Rattigan | Statement: [Olivier Award for Best Revival for "After the Dance" (as director of the production), authorOfWorkAwarded, Terence Rattigan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorOfWorkAwarded Context triple: [Olivier Award for Best Revival for "After the Dance" (as director of the production), authorOfWorkAwarded, Terence Rattigan]
-
A.
authorAwardedForBodyOfWork
Indicates that an author received an award recognizing their entire body of work rather than a single specific piece.
-
B.
literaryAwardedBy
Indicates that a literary award is given or conferred by a particular person, organization, or institution.
-
C.
recipientOfAward
Indicates that an entity has received or been granted a particular award.
-
D.
awardedAuthor
chosen
Indicates that an author has received an award or recognition.
-
E.
namedAfterAwardLaureateOf
Indicates that one entity is named after a person who is a laureate (recipient) of a particular award.
- 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_69f224b047f48190b4f5efeb7ee97b37 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fcec5f8b448190b48330a19b462d24 |
completed | May 7, 2026, 7:47 p.m. |
| PD | Predicate disambiguation | batch_69fceaf1e23881908ca24160a638e329 |
completed | May 7, 2026, 7:41 p.m. |
Created at: April 29, 2026, 8:40 p.m.