Triple
T36114372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Broadway production of Rodgers & Hammerstein's Cinderella |
E1044578
|
entity |
| Predicate | receivedTonyNominationFor |
P32504
|
FINISHED |
| Object | Best Revival 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 Revival of a Musical | Statement: [Broadway production of Rodgers & Hammerstein's Cinderella, receivedTonyNominationFor, Best Revival of a Musical]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: receivedTonyNominationFor Context triple: [Broadway production of Rodgers & Hammerstein's Cinderella, receivedTonyNominationFor, Best Revival of a Musical]
-
A.
sharedTonyAwardWith
Indicates that two entities have both received a Tony Award in the same year and category, or were otherwise jointly recognized with a Tony Award.
-
B.
hasTonyAward
Indicates that an entity has received or been awarded a Tony Award.
-
C.
tonyNominations
Indicates that an entity has received one or more nominations for a Tony Award.
-
D.
nominatedIn
chosen
Indicates that an entity has been formally put forward as a candidate for an award, position, or recognition within a specific event, context, or time period.
-
E.
tonyNominationsCount
Indicates the number of Tony Award nominations an entity has received.
- 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_69f76e344a4c8190af3858c6d78ba88f |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fbbc49da8c8190902bbb05d2477cab |
completed | May 6, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69fbb13f34b08190bbbb220ac1e6e666 |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:08 p.m.