Triple
T24313118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Temptress |
E612726
|
entity |
| Predicate | hasAlternativeCut |
P57506
|
FINISHED |
| Object | version with different ending |
—
|
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: version with different ending | Statement: [The Temptress, hasAlternativeCut, version with different ending]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAlternativeCut Context triple: [The Temptress, hasAlternativeCut, version with different ending]
-
A.
hasAlternateCut
chosen
Indicates that an entity has an alternative edited version or cut, distinct from its primary or original form.
-
B.
hasAlternativeProduction
Indicates that an entity has another possible method, process, or source by which it can be produced or generated.
-
C.
hasAlternativeReconstruction
Indicates that there exists another possible way to reconstruct or represent the same underlying entity, structure, or configuration.
-
D.
hasAlternativeAnalyses
Indicates that an entity is associated with one or more different or optional analyses that can be considered as alternatives to a primary analysis.
-
E.
hasAlternateTake
Indicates that one entity is an alternative version or different take of another, typically representing a variant recording, shot, or rendition of the same underlying content.
- 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_69e2d7da491c8190b6e6218af50923db |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f292a569dc81908971a4026e612a05 |
completed | April 29, 2026, 11:22 p.m. |
| PD | Predicate disambiguation | batch_69f1c45f45888190a9ccc225906c34bd |
completed | April 29, 2026, 8:42 a.m. |
Created at: April 18, 2026, 1:44 a.m.