Triple
T13796529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Mercenary |
E331530
|
entity |
| Predicate | hasFilmScoreStyle |
P111494
|
FINISHED |
| Object | Morricone Spaghetti Western score |
—
|
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: Morricone Spaghetti Western score | Statement: [The Mercenary, hasFilmScoreStyle, Morricone Spaghetti Western score]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFilmScoreStyle Context triple: [The Mercenary, hasFilmScoreStyle, Morricone Spaghetti Western score]
-
A.
hasFilmScore
Indicates that one entity serves as the musical score or soundtrack composed for a particular film.
-
B.
hasFilmScoreBy
Indicates that a film’s musical score was composed or created by a specified person or entity.
-
C.
hasFilmStyle
Indicates that a film exhibits or is characterized by a particular cinematic style or aesthetic approach.
-
D.
hasPosterArtStyle
Indicates that one entity’s poster is characterized by or created in the artistic style of another entity.
-
E.
isScoreForGenre
Indicates that a given score or rating is specifically associated with a particular genre.
- F. None of above. chosen
Provenance (4 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de025be1f08190aac525d72d7dc0c3 |
completed | April 14, 2026, 9:01 a.m. |
| PD | Predicate disambiguation | batch_69dbc85fb600819098a2aab48169be96 |
completed | April 12, 2026, 4:29 p.m. |
| PDg | Predicate description generation | batch_69dcad0eea9881908f71e1eed9a2446b |
completed | April 13, 2026, 8:45 a.m. |
Created at: April 9, 2026, 10:11 p.m.