Triple
T34123542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Belle Noiseuse |
E875208
|
entity |
| Predicate | alternativeVersionDirector |
P180912
|
FINISHED |
| Object | Jacques Rivette |
—
|
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: Jacques Rivette | Statement: [La Belle Noiseuse, alternativeVersionDirector, Jacques Rivette]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alternativeVersionDirector Context triple: [La Belle Noiseuse, alternativeVersionDirector, Jacques Rivette]
-
A.
alternateVersionTrait
Indicates that one entity represents an alternative version or variant of another, differing in certain traits or characteristics.
-
B.
laterVersion
Indicates that one entity is a subsequent or more recent version of another entity in a version sequence.
-
C.
alternateUniverseVersionOf
Indicates that one entity is a counterpart or variant of another entity existing in a different universe or reality.
-
D.
alternativeImplementation
Indicates that one implementation serves as a substitute or different way of realizing the same functionality or specification as another implementation.
-
E.
hasAlternativeRadioVersionWith
Indicates that one audio track has a corresponding alternative version specifically edited or mixed for radio play.
- F. None of above. chosen
Provenance (4 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_69f349aa33848190a2e6c5e4533c8444 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f757898fe48190b124dc7301672623 |
completed | May 3, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_69f754c484348190948d2a04ff228fb1 |
completed | May 3, 2026, 1:59 p.m. |
| PDg | Predicate description generation | batch_69f75788d40c819083bf2567b3091585 |
completed | May 3, 2026, 2:11 p.m. |
Created at: May 1, 2026, 1:53 a.m.