Triple
T30133396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marin Mazzie |
E765912
|
entity |
| Predicate | TheatreWorldAwardRecipientFor |
P21687
|
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, TheatreWorldAwardRecipientFor, Passion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: TheatreWorldAwardRecipientFor Context triple: [Marin Mazzie, TheatreWorldAwardRecipientFor, Passion]
-
A.
awardedInTheatre
Indicates that an award or honor was given to someone or something specifically for work or achievement in the field of theatre.
-
B.
tonyAwardForBestActorInAPlayWork
Indicates that a work (play) is the performance or role for which an actor received the Tony Award for Best Actor in a Play.
-
C.
hasTonyAward
Indicates that an entity has received or been awarded a Tony Award.
-
D.
awardedForTheater
chosen
Indicates that an award or honor is given in recognition of achievements or contributions in the field of theater.
-
E.
supportingActorAwardRecipient
Indicates that an entity has received an award specifically for a supporting acting role in a performance or production.
- 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.