Triple
T30133389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marin Mazzie |
E765912
|
entity |
| Predicate | TonyAwardNominationFor |
P36383
|
FINISHED |
| Object | Passion |
—
|
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: Passion | Statement: [Marin Mazzie, TonyAwardNominationFor, Passion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: TonyAwardNominationFor Context triple: [Marin Mazzie, TonyAwardNominationFor, Passion]
-
A.
hasTonyAward
Indicates that an entity has received or been awarded a Tony Award.
-
B.
tonyNominations
chosen
Indicates that an entity has received one or more nominations for a Tony Award.
-
C.
screenActorsGuildAwardNominationFor
Indicates that an entity received a nomination for a Screen Actors Guild Award for a particular work or performance.
-
D.
grammyNomination
Indicates that an entity has been officially nominated for a Grammy Award in a particular category and year.
-
E.
leadActressTonyNominee
Indicates that the person received a Tony Award nomination for a performance in a lead actress role.
- 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.