Triple
T28666414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Nun (2018 film) score |
E725596
|
entity |
| Predicate | productionRoleOf |
P49052
|
FINISHED |
| Object | Benjamin Wallfisch |
—
|
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: Benjamin Wallfisch | Statement: [The Nun (2018 film) score, productionRoleOf, Benjamin Wallfisch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productionRoleOf Context triple: [The Nun (2018 film) score, productionRoleOf, Benjamin Wallfisch]
-
A.
producesRole
Indicates that one entity generates, creates, or gives rise to a particular role associated with another entity.
-
B.
producerRole
chosen
Indicates that an entity serves in the role of producer for another entity, such as a work, product, or event.
-
C.
producedRole
Indicates that one entity was responsible for creating, originating, or bringing about a particular role associated with another entity.
-
D.
producedOccupation
Indicates that one entity has generated, created, or given rise to another entity’s occupation or professional role.
-
E.
productionBy
Indicates that something is created, manufactured, or generated by a particular agent, organization, or process.
- 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_69f01d85be388190b669a0e401e2f2c4 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f9fd6834cc8190aa27153d6a99f3bb |
completed | May 5, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_69f7cf769338819092a5f42653dcc956 |
completed | May 3, 2026, 10:43 p.m. |
Created at: April 28, 2026, 5:01 a.m.