Triple
T17692350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Priscilla, Queen of the Desert (stage musical) |
E441058
|
entity |
| Predicate | tonyAwardCategoryWon |
P124906
|
FINISHED |
| Object | Best Costume Design of a Musical |
—
|
LITERAL FINISHED |
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: Best Costume Design of a Musical | Statement: [Priscilla, Queen of the Desert (stage musical), tonyAwardCategoryWon, Best Costume Design of a Musical]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tonyAwardCategoryWon Context triple: [Priscilla, Queen of the Desert (stage musical), tonyAwardCategoryWon, Best Costume Design of a Musical]
-
A.
tonyAwardsWonFor
Indicates the specific Tony Award-winning work or role for which an entity received a Tony Award.
-
B.
hasTonyAward
chosen
Indicates that an entity has received or been awarded a Tony Award.
-
C.
oscarCategoryWon
Indicates that an entity has won an Academy Award in the specified Oscar category.
-
D.
tonyAwardsYear
Indicates the year in which a particular Tony Awards event or ceremony took place.
-
E.
tonyNominations
Indicates that an entity has received one or more nominations for a Tony 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47153a5c8819095c36fd414167fb1 |
completed | April 19, 2026, 6:08 a.m. |
| PD | Predicate disambiguation | batch_69e3cde3673c8190a889e14ba1f07dc1 |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 10:03 a.m.