Triple
T3171190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theme from "The King and I" (musical) |
E66346
|
entity |
| Predicate | hasFunctionInScore |
P46744
|
FINISHED |
| Object | recurring theme |
—
|
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: recurring theme | Statement: [Theme from "The King and I" (musical), hasFunctionInScore, recurring theme]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFunctionInScore Context triple: [Theme from "The King and I" (musical), hasFunctionInScore, recurring theme]
-
A.
isScoreFor
Indicates that one value represents the score or result associated with a particular entity, event, or performance.
-
B.
hasFunctionInPlot
Indicates that an entity serves a particular role or purpose within the structure or progression of a plot.
-
C.
hadFunction
Indicates that an entity previously served or fulfilled a particular role, purpose, or function.
-
D.
usesFunction
Indicates that one entity employs, invokes, or relies on a particular function to perform an operation or achieve a result.
-
E.
hasHubFunction
Indicates that an entity serves as a central hub or coordinating point for certain activities, connections, or functions within a system.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69ada20880e481908ecac09d49b1f1c3 |
completed | March 8, 2026, 4:21 p.m. |
Created at: March 8, 2026, 3:06 p.m.