Triple
T3169050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Sound of Music |
E66281
|
entity |
| Predicate | BroadwayTonyAward |
P16597
|
FINISHED |
| Object | Best 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 Musical | Statement: [The Sound of Music, BroadwayTonyAward, Best Musical]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BroadwayTonyAward Context triple: [The Sound of Music, BroadwayTonyAward, Best Musical]
-
A.
numberOfTonyAwards
Indicates the total count of Tony Awards that an entity has received.
-
B.
tonyNominations
Indicates that an entity has received one or more nominations for a Tony Award.
-
C.
tonyAwardsWonFor
chosen
Indicates the specific Tony Award-winning work or role for which an entity received a Tony Award.
-
D.
leadActressTonyNominee
Indicates that the person received a Tony Award nomination for a performance in a lead actress role.
-
E.
awardedInTheatre
Indicates that an award or honor was given to someone or something specifically for work or achievement in the field of theatre.
- 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_69ad8585d7988190af37365331093ccd |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada64726048190933dbdc44258703e |
completed | March 8, 2026, 4:39 p.m. |
| PD | Predicate disambiguation | batch_69ad9e0076b4819094628f1ad10b8f68 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:06 p.m.