Triple
T35250113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Wild Wild West |
E1018071
|
entity |
| Predicate | hasTelevisionFilmAdaptation |
P196675
|
FINISHED |
| Object | The Wild Wild West Revisited |
—
|
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: The Wild Wild West Revisited | Statement: [The Wild Wild West, hasTelevisionFilmAdaptation, The Wild Wild West Revisited]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTelevisionFilmAdaptation Context triple: [The Wild Wild West, hasTelevisionFilmAdaptation, The Wild Wild West Revisited]
-
A.
isTelevisionAdaptationOf
Indicates that a television show is an adaptation derived from the story, characters, or content of another original work.
-
B.
hasTVSeriesAdaptation
Indicates that a work has been adapted into a television series.
-
C.
hasPreviousFilmAdaptation
Indicates that a work has been adapted into a film before the current or referenced adaptation.
-
D.
hasComicAdaptation
Indicates that one entity has been adapted into a comic based on the other entity.
-
E.
hasGraphicNovelAdaptation
Indicates that a work has been adapted into a graphic novel format.
- 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_69f76de407d081909dfc3c419817ae93 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fe610e1f6881908f10070ba64643cf |
completed | May 8, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69fe604c6c008190ad659e9b9fa82f7b |
completed | May 8, 2026, 10:14 p.m. |
| PDg | Predicate description generation | batch_69fe610d75a48190bfd08a9bb957fcd3 |
completed | May 8, 2026, 10:17 p.m. |
Created at: May 3, 2026, 4:02 p.m.