Triple
T30464906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uncle Rat |
E775107
|
entity |
| Predicate | functionInSongPerformance |
P41587
|
FINISHED |
| Object | adds comic dialogue |
—
|
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: adds comic dialogue | Statement: [Uncle Rat, functionInSongPerformance, adds comic dialogue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: functionInSongPerformance Context triple: [Uncle Rat, functionInSongPerformance, adds comic dialogue]
-
A.
performsSongWith
Indicates that two or more entities jointly perform or present a song together.
-
B.
performedSong
Indicates that an entity (such as an artist or performer) has given a performance of a particular song.
-
C.
musicalFunction
chosen
Indicates the specific role or function an entity plays within a musical context, such as its harmonic, structural, or performative purpose in a piece or performance.
-
D.
performedSongInWork
Indicates that an entity performed a particular song within the context of a specific larger work or production.
-
E.
songFunction
Indicates the role or purpose a song serves within a larger context, such as a performance, narrative, or musical structure.
- 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_69f2249622a48190b1fae2e3e4ee958a |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6cee45590819086e489bfccbe4ac3 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1188708190b8f0f56e595e6057 |
completed | May 3, 2026, 4:16 a.m. |
Created at: April 29, 2026, 8:11 p.m.