Triple
T6204876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony Awards telecasts |
E138721
|
entity |
| Predicate | awardCategoryIncluded |
P13061
|
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: [Tony Awards telecasts, awardCategoryIncluded, Best Musical]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardCategoryIncluded Context triple: [Tony Awards telecasts, awardCategoryIncluded, Best Musical]
-
A.
awardIncludes
chosen
Indicates that a particular award encompasses, contains, or is composed of the specified component, category, or sub-award.
-
B.
hasAwardCategoryWithin
Indicates that an award belongs to or is classified under a specific award category within a broader award system or hierarchy.
-
C.
awardConferred
Indicates that an award or honor has been formally granted by one entity to another.
-
D.
awardType
Indicates the specific category or kind of award associated with an entity or event.
-
E.
awardName
Indicates the specific name or title of an award associated with an entity.
- 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_69c008acbea48190991c6b834bb45d65 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0626d96ec8190816c00c44668177d |
completed | March 22, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69c055fdea3c81908f5d910f0d36234a |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:20 p.m.