Triple
T32059196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bones and All (film score) |
E818700
|
entity |
| Predicate | composerFrequentCollaborator |
P129005
|
FINISHED |
| Object | Luca Guadagnino |
—
|
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: Luca Guadagnino | Statement: [Bones and All (film score), composerFrequentCollaborator, Luca Guadagnino]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: composerFrequentCollaborator Context triple: [Bones and All (film score), composerFrequentCollaborator, Luca Guadagnino]
-
A.
frequentlyCollaboratedWith
chosen
Indicates that two entities have worked together on shared activities or projects on a recurring or regular basis.
-
B.
musicalCollaborator
Indicates a relationship where two or more entities work together in creating, performing, or producing music.
-
C.
composerOfRelatedWorks
Indicates that an entity is the composer of works that are related to another specified work or set of works.
-
D.
producerOftenWorkedWith
Indicates that a producer frequently collaborated or worked together with a particular entity (such as an artist, director, or production team) on multiple projects.
-
E.
partnerInArtisticCollaboration
Indicates that two or more entities are engaged together as partners in a shared artistic collaboration or creative project.
- 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_69f348fdacec8190b9f74375ca3b2094 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd02680d948190a3463fb119ba8556 |
completed | May 7, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69fcf89c69b4819082bbc564bd15137d |
completed | May 7, 2026, 8:39 p.m. |
Created at: May 1, 2026, 12:21 a.m.