Triple
T30133392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marin Mazzie |
E765912
|
entity |
| Predicate | DramaDeskAwardNominationFor |
P168473
|
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, DramaDeskAwardNominationFor, Passion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: DramaDeskAwardNominationFor Context triple: [Marin Mazzie, DramaDeskAwardNominationFor, Passion]
-
A.
dramaDeskAwardsNominationsCount
Indicates the number of Drama Desk Award nominations an entity has received.
-
B.
dramaDeskAwardWinCategory
Indicates that an entity has won a Drama Desk Award in a specified award category.
-
C.
dramaDeskAwardsWinsCount
Indicates the number of Drama Desk Awards that an entity has won.
-
D.
awardedInTheatre
Indicates that an award or honor was given to someone or something specifically for work or achievement in the field of theatre.
-
E.
PulitzerPrizeForDramaFor
Indicates that a work or creator has been awarded the Pulitzer Prize specifically in the Drama category for that work.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69f6749f205c81909d1aacf462912eee |
completed | May 2, 2026, 10:03 p.m. |
Created at: April 29, 2026, 7:15 p.m.