Triple
T30001769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mission: Impossible film franchise |
E762186
|
entity |
| Predicate | musicThemeComposer |
P32102
|
FINISHED |
| Object | Lalo Schifrin |
—
|
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: Lalo Schifrin | Statement: [Mission: Impossible film franchise, musicThemeComposer, Lalo Schifrin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicThemeComposer Context triple: [Mission: Impossible film franchise, musicThemeComposer, Lalo Schifrin]
-
A.
musicComposer
chosen
Indicates that one entity is the creator or writer of a piece of music associated with another entity.
-
B.
themeMusicFor
Indicates that one entity serves as the theme music or signature tune specifically composed or selected for another entity, such as a show, character, or event.
-
C.
musicThemeType
Indicates the specific category or type of musical theme associated with a piece, segment, or motif.
-
D.
musicContribution
Indicates that an entity has contributed in some way to the creation, performance, or production of a musical work.
-
E.
cinematicTheme
Indicates that something embodies, expresses, or is characterized by a particular theme commonly used in cinema or film narratives.
- 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_69f2246a47ac81909cf5213053687ffc |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f7be53890081909b1d93f30a8f31c6 |
completed | May 3, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69f7bccacbac8190978976324c67db28 |
completed | May 3, 2026, 9:23 p.m. |
Created at: April 29, 2026, 6:41 p.m.