Triple
T3170666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theme from "The Gulf Playhouse" |
E66324
|
entity |
| Predicate | composerOccupation |
P13413
|
FINISHED |
| Object | musical theatre composer |
—
|
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: musical theatre composer | Statement: [Theme from "The Gulf Playhouse", composerOccupation, musical theatre composer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: composerOccupation Context triple: [Theme from "The Gulf Playhouse", composerOccupation, musical theatre composer]
-
A.
subjectOccupation
Indicates that the subject holds or performs a particular job, profession, or role as their occupation.
-
B.
creatorOccupation
chosen
Indicates the professional role or job that the creator of an entity holds or held.
-
C.
memberProfession
Indicates that a member or individual holds or practices a particular profession or occupation.
-
D.
authorOccupation
Indicates the professional role or job that an author holds or is associated with.
-
E.
artistOccupation
Indicates the professional role or job that an artist holds or performs.
- 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_69ada66c043081908eb23a4fe3420a78 |
completed | March 8, 2026, 4:40 p.m. |
| PD | Predicate disambiguation | batch_69ad9e0076b4819094628f1ad10b8f68 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:06 p.m.