Triple
T34792783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boggs family |
E1002990
|
entity |
| Predicate | filmComposerOfWorkAppearedIn |
P109630
|
FINISHED |
| Object | Danny Elfman |
—
|
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: Danny Elfman | Statement: [Boggs family, filmComposerOfWorkAppearedIn, Danny Elfman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmComposerOfWorkAppearedIn Context triple: [Boggs family, filmComposerOfWorkAppearedIn, Danny Elfman]
-
A.
directorAlsoComposedMusic
Indicates that the person who directed the work also composed its musical score.
-
B.
scoredBySameComposerAsFilm
Indicates that the work is scored by a composer who also composed the score for the referenced film.
-
C.
associatedWithComposerOfFilm
chosen
Indicates a relationship where an entity is connected to the composer who created the musical score for a specific film.
-
D.
composerOfSoundtrackFor
Indicates that one entity created the musical score or soundtrack specifically for a work associated with another entity.
-
E.
filmWriterOfWorkAppearedIn
Indicates that a person is the writer of a film in which they themselves also appeared (e.g., as an actor or on-screen participant).
- 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_69f76db47d408190a24fc7164439ea2d |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77ffa6b68819090257fed3802c239 |
completed | May 3, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69f7795978c481909e152cd1bd02dd07 |
completed | May 3, 2026, 4:35 p.m. |
Created at: May 3, 2026, 3:59 p.m.