Triple
T38393065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Music Theatre International |
E899778
|
entity |
| Predicate | representsWorkType |
P1366
|
FINISHED |
| Object | Broadway musicals |
—
|
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: Broadway musicals | Statement: [Music Theatre International, representsWorkType, Broadway musicals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsWorkType Context triple: [Music Theatre International, representsWorkType, Broadway musicals]
-
A.
associatedWorkType
Indicates the type or category of work with which an entity is associated (e.g., publication, artwork, performance).
-
B.
basedOnWorkTypeOftenAppearsIn
Indicates that something of a given work type frequently appears in or is commonly found within another context or medium.
-
C.
designedTypeOfWork
Indicates that one entity is the type or category of work for which another entity was specifically designed.
-
D.
typeOfWork
chosen
Indicates the kind or category of work associated with or performed by an entity.
-
E.
workRepresented
Indicates that one entity is a representation (such as a depiction, adaptation, or portrayal) of another work.
- 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_69f76e5c9b808190b486523f5c2f817d |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ffc605b0648190a7abe9128b0d857a |
completed | May 9, 2026, 11:40 p.m. |
| PD | Predicate disambiguation | batch_69ffc5742d80819099f947ece78d5700 |
completed | May 9, 2026, 11:38 p.m. |
Created at: May 3, 2026, 4:31 p.m.