Triple
T34248560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holiday (1930 film) |
E878668
|
entity |
| Predicate | isFirstFilmAdaptationOf |
P140739
|
FINISHED |
| Object | Holiday (play) |
—
|
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: Holiday (play) | Statement: [Holiday (1930 film), isFirstFilmAdaptationOf, Holiday (play)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFirstFilmAdaptationOf Context triple: [Holiday (1930 film), isFirstFilmAdaptationOf, Holiday (play)]
-
A.
hasFirstFilm
chosen
Indicates the specific film that is recognized as the first film associated with an entity (such as a person, series, or franchise).
-
B.
firstFeatureFilmRelease
Indicates the date or event of an entity’s debut feature-length film being publicly released.
-
C.
hasPreviousFilmAdaptation
Indicates that a work has been adapted into a film before the current or referenced adaptation.
-
D.
firstUsedInFeatureFilm
Indicates that something (such as a technique, character, or element) made its earliest appearance or application in a particular feature film.
-
E.
isTelevisionAdaptationOf
Indicates that a television show is an adaptation derived from the story, characters, or content of another original 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_69f349b3618481909df955b063f305b2 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71362f1448190985a80ce7af475cb |
completed | May 3, 2026, 9:20 a.m. |
| PD | Predicate disambiguation | batch_69f7127884388190884f23d181a65d19 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:56 a.m.