Triple
T30133395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marin Mazzie |
E765912
|
entity |
| Predicate | OuterCriticsCircleAwardWinnerFor |
P77579
|
FINISHED |
| Object | Kiss Me, Kate |
—
|
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: Kiss Me, Kate | Statement: [Marin Mazzie, OuterCriticsCircleAwardWinnerFor, Kiss Me, Kate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: OuterCriticsCircleAwardWinnerFor Context triple: [Marin Mazzie, OuterCriticsCircleAwardWinnerFor, Kiss Me, Kate]
-
A.
outerCriticsCircleAwardWinCategory
chosen
Indicates that an entity has won an Outer Critics Circle Award in a specified award category.
-
B.
outerCriticsCircleAwardsWinsCount
Indicates the number of Outer Critics Circle Awards that an entity has won.
-
C.
outerCriticsCircleAwardsNominationsCount
Indicates the number of Outer Critics Circle Award nominations an entity has received.
-
D.
bestCastingWinner
Indicates that the subject has won an award or recognition for delivering the best casting in a given context or competition.
-
E.
holderAwardedFor
Indicates that an award holder received the award specifically in recognition of, or as a result of, a particular work, achievement, or contribution.
- 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_69f22477d1a081908df2b7e6ed16859d |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67e4a4b5c8190b5bc97169f9153de |
completed | May 2, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69f673c664f08190b4d66cdc305e10db |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 7:15 p.m.