Triple
T27345424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Il vizio d’uccidere |
E684216
|
entity |
| Predicate | isPartOfIconicScore |
P43625
|
FINISHED |
| Object | For a Few Dollars More (score) |
—
|
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: For a Few Dollars More (score) | Statement: [Il vizio d’uccidere, isPartOfIconicScore, For a Few Dollars More (score)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfIconicScore Context triple: [Il vizio d’uccidere, isPartOfIconicScore, For a Few Dollars More (score)]
-
A.
isPartOfScoreBy
Indicates that something constitutes a component or segment within a larger score or musical composition.
-
B.
scoredAsPartOf
Indicates that an entity achieved a score or rating specifically within the context of being part of a larger group, event, or composite activity.
-
C.
isIconicIn
chosen
Indicates that something is widely recognized as a defining or emblematic example within a particular context, domain, or location.
-
D.
isScoreFor
Indicates that one value represents the score or result associated with a particular entity, event, or performance.
-
E.
alsoScoredFor
Indicates that an individual who scored for one team or entity has also scored for another team or entity.
- 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_69ef1480a76481908684256ddd5bfda3 |
completed | April 27, 2026, 7:47 a.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 27, 2026, 11:45 a.m.