Triple
T32513150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Simpsons opening sequence |
E830987
|
entity |
| Predicate | startTheme |
P200266
|
FINISHED |
| Object | The Simpsons Theme |
—
|
NE NERFINISHED |
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: The Simpsons Theme | Statement: [The Simpsons opening sequence, startTheme, The Simpsons Theme]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTheme Context triple: [The Simpsons opening sequence, startTheme, The Simpsons Theme]
-
A.
themeFor
Indicates that something serves as the central subject, topic, or focus for another thing (such as an event, work, or activity).
-
B.
trainTheming
Indicates that one entity designs, applies, or manages a specific theme or decorative concept for a train or train-related environment.
-
C.
themeInArc
Indicates that something serves as a central theme or recurring subject within a particular narrative arc.
-
D.
endTheme
Indicates that something serves as the concluding or final thematic element within a larger sequence, work, or context.
-
E.
transformationTheme
Indicates a thematic relationship in which one entity centers on or explores the process, experience, or idea of transformation in another.
- 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_69f3492318348190ba37fb6b5f1d67f4 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69ff7dcedab08190a719a707d03306e2 |
completed | May 9, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69ff7d0119348190ad462554e81190fe |
completed | May 9, 2026, 6:29 p.m. |
| PDg | Predicate description generation | batch_69ff7dce25d88190b167a014661bc4ba |
completed | May 9, 2026, 6:32 p.m. |
Created at: May 1, 2026, 1 a.m.