Triple
T26935003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beverly D'Angelo as Patsy Cline |
E678348
|
entity |
| Predicate | musicPerformedInWork |
P165831
|
FINISHED |
| Object | Patsy Cline songs |
—
|
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: Patsy Cline songs | Statement: [Beverly D'Angelo as Patsy Cline, musicPerformedInWork, Patsy Cline songs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicPerformedInWork Context triple: [Beverly D'Angelo as Patsy Cline, musicPerformedInWork, Patsy Cline songs]
-
A.
performedSongInWork
chosen
Indicates that an entity performed a particular song within the context of a specific larger work or production.
-
B.
performsMusicIn
Indicates that an entity presents or plays music within a particular venue, event, or context.
-
C.
musicByInWorkAppearedIn
Indicates that a piece of music was created by a particular agent and appears within a specific larger work (e.g., film, show, or production).
-
D.
performsMusicFrom
Indicates that one entity presents or executes a musical work that originates from or was created by another entity.
-
E.
musicalWork
Indicates a relationship where an entity is identified as a musical composition or piece associated with another entity (such as a creator, performance, or recording).
- 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_69eeeb4cac908190a45956c2993d1cc2 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f676c440708190a4b9974e95d2291a |
completed | May 2, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f675fd59608190b246383435e68fce |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 27, 2026, 6:15 a.m.