Triple
T30498279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tonight (Quintet) |
E776064
|
entity |
| Predicate | workFromWhichAdaptedToFilm |
P15523
|
FINISHED |
| Object | West Side Story (1961 film) |
—
|
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: West Side Story (1961 film) | Statement: [Tonight (Quintet), workFromWhichAdaptedToFilm, West Side Story (1961 film)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workFromWhichAdaptedToFilm Context triple: [Tonight (Quintet), workFromWhichAdaptedToFilm, West Side Story (1961 film)]
-
A.
filmAdaptationOfWork
Indicates that a film is an adaptation based on the narrative content of a specific original work.
-
B.
isTelevisionAdaptationOf
Indicates that a television show is an adaptation derived from the story, characters, or content of another original work.
-
C.
bookAdaptedInto
Indicates that a book has been turned into another work, typically in a different medium such as a film, TV series, or play.
-
D.
adaptedWorkOf
chosen
Indicates that one work is derived from, based on, or reinterprets the content of another pre-existing work.
-
E.
inFilmAdaptation
Indicates that one work or element appears within, or is incorporated into, a film adaptation of another work.
- 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_69f22498c5d481908aaea89e6fab8280 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6877e57108190802c2adbbaf16d3c |
completed | May 2, 2026, 11:23 p.m. |
| PD | Predicate disambiguation | batch_69f67e42d6688190b60e91d2c388c555 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 8:14 p.m.