Triple
T3171104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theme from "Bali Ha'i" (revised) |
E66343
|
entity |
| Predicate | derivesFromWorkType |
P12825
|
FINISHED |
| Object | stage 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: stage musical | Statement: [Theme from "Bali Ha'i" (revised), derivesFromWorkType, stage musical]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: derivesFromWorkType Context triple: [Theme from "Bali Ha'i" (revised), derivesFromWorkType, stage musical]
-
A.
derivesFromOccupation
Indicates that one entity originates from, is obtained through, or is a result of another entity’s occupation or professional role.
-
B.
partOfWorkType
Indicates that something is a component, subtype, or specific category within a broader type of work.
-
C.
derivationType
chosen
Indicates the specific manner or process by which one entity is derived or obtained from another.
-
D.
derivedFrom
Indicates that one entity originates, is obtained, or is developed from another source entity.
-
E.
typeOfWork
Indicates the kind or category of work associated with or performed by 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_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.