Triple
T35398982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Little Thief |
E1023166
|
entity |
| Predicate | hasFrançoisTruffautConnection |
P118003
|
FINISHED |
| Object | based on an idea by François Truffaut |
—
|
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: based on an idea by François Truffaut | Statement: [The Little Thief, hasFrançoisTruffautConnection, based on an idea by François Truffaut]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFrançoisTruffautConnection Context triple: [The Little Thief, hasFrançoisTruffautConnection, based on an idea by François Truffaut]
-
A.
associatedWithComposerOfFilm
Indicates a relationship where an entity is connected to the composer who created the musical score for a specific film.
-
B.
associatedWithProducerOfFilm
Indicates that one entity has an association or connection with the producer of a particular film.
-
C.
directorOfWorkAboutSubject
Indicates that a person is the director of a creative work whose content or focus is about a specified subject.
-
D.
associatedWithDirectors
chosen
Indicates a direct relationship or connection between an entity and one or more film or project directors.
-
E.
associatedWithLeadActorOfFilm
Indicates a relationship where one entity is connected or linked in some relevant way to the lead actor of a specified film.
- 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_69f76df43ca4819098711ca4370f1bb9 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a225a77c81908f8953ccfeb14336 |
completed | May 3, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69f7a06d4f108190bae3ab9ae431d2c7 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:03 p.m.