Triple
T30921897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chavela Vargas |
E787746
|
entity |
| Predicate | musicFeaturedIn |
P162904
|
FINISHED |
| Object | films by Pedro Almodóvar |
—
|
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: films by Pedro Almodóvar | Statement: [Chavela Vargas, musicFeaturedIn, films by Pedro Almodóvar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicFeaturedIn Context triple: [Chavela Vargas, musicFeaturedIn, films by Pedro Almodóvar]
-
A.
musicFeatured
chosen
Indicates that a particular piece of music is prominently included or used within another work, event, or context.
-
B.
musicFromAttraction
Indicates that the music originates from, or is thematically associated with, a specific attraction.
-
C.
musicAttracted
Indicates that one entity is drawn or attracted to another entity because of its music.
-
D.
musicBy
Indicates that a piece of music, performance, or recording is created, composed, or performed by a specified musical artist or group.
-
E.
featuresVariousArtists
Indicates that something (typically a creative work) includes contributions from multiple distinct artists rather than a single primary artist.
- 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_69f224bfaca88190b9d0dfcc86297fe9 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fba78aca4c8190b8f1831e8cc04e06 |
completed | May 6, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69fba34a65a4819088bac6c17542d71c |
completed | May 6, 2026, 8:23 p.m. |
Created at: April 29, 2026, 8:51 p.m.