Triple
T34248561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holiday (1930 film) |
E878668
|
entity |
| Predicate | hasLaterFilmAdaptation |
P199113
|
FINISHED |
| Object | Holiday (1938 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: Holiday (1938 film) | Statement: [Holiday (1930 film), hasLaterFilmAdaptation, Holiday (1938 film)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLaterFilmAdaptation Context triple: [Holiday (1930 film), hasLaterFilmAdaptation, Holiday (1938 film)]
-
A.
hasPreviousFilmAdaptation
Indicates that a work has been adapted into a film before the current or referenced adaptation.
-
B.
hasSequelAdaptation
Indicates that an original work has a subsequent adaptation that continues its story or follows it in sequence.
-
C.
hasTelevisionFilmAdaptation
Indicates that a work has been adapted into a film produced specifically for television.
-
D.
hasFilmAdaptations
Indicates that a work has been adapted into one or more films.
-
E.
hasTVSeriesAdaptation
Indicates that a work has been adapted into a television series.
- 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_69f349b3618481909df955b063f305b2 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff1f3f94fc819095955299f50ab4ce |
completed | May 9, 2026, 11:49 a.m. |
| PD | Predicate disambiguation | batch_69ff1ea47748819082f63d9b9d9c3e65 |
completed | May 9, 2026, 11:46 a.m. |
| PDg | Predicate description generation | batch_69ff1f3ee3588190a857d1504c93be8b |
completed | May 9, 2026, 11:49 a.m. |
Created at: May 1, 2026, 1:56 a.m.