Triple
T23987797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matteo Garrone |
E604983
|
entity |
| Predicate | directedFilmAdaptationOf |
P111223
|
FINISHED |
| Object | Pinocchio by Carlo Collodi |
—
|
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: Pinocchio by Carlo Collodi | Statement: [Matteo Garrone, directedFilmAdaptationOf, Pinocchio by Carlo Collodi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: directedFilmAdaptationOf Context triple: [Matteo Garrone, directedFilmAdaptationOf, Pinocchio by Carlo Collodi]
-
A.
filmAdaptationDirectorAttached
Indicates that a specific director is officially attached to direct a planned or in-development film adaptation of a work.
-
B.
inFilmAdaptation
Indicates that one work or element appears within, or is incorporated into, a film adaptation of another work.
-
C.
directedIn
chosen
Indicates that one entity served as the director of another entity, such as a person directing a film, episode, or similar work.
-
D.
adaptedForFilmBy
Indicates that a work has been turned into a film by a particular person or entity responsible for the adaptation.
-
E.
bookAdaptedInto
Indicates that a book has been turned into another work, typically in a different medium such as a film, TV series, or play.
- 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_69e295463f7c8190b1c19dbd114641b9 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d38838f481909a52fccd392a92df |
completed | April 29, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69f1615994c48190a5de95d3f7e5cd0a |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:36 p.m.