Triple
T33404649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gordy's Home |
E855404
|
entity |
| Predicate | chronologicalRelationInFilm |
P194772
|
FINISHED |
| Object | events occur before main timeline of Nope |
—
|
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: events occur before main timeline of Nope | Statement: [Gordy's Home, chronologicalRelationInFilm, events occur before main timeline of Nope]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chronologicalRelationInFilm Context triple: [Gordy's Home, chronologicalRelationInFilm, events occur before main timeline of Nope]
-
A.
sequenceInFilm
Indicates that one entity is a specific sequence or segment that appears within the narrative or structure of a particular film.
-
B.
precedesInFilm
Indicates that one film is released or occurs earlier in sequence or narrative order than another film.
-
C.
filmSeriesChronology
Indicates the chronological ordering relationship between entries within a film series, specifying which films occur earlier or later in the series timeline.
-
D.
storyTimeSpanInFilm
Indicates the duration of time that the story or narrative covers within the film.
-
E.
chronologicalOrderInSeries
Indicates that one entity appears earlier or later than another within an ordered sequence or 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_69f3496e3f1c8190bcecfa82aa9d17ff |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd864235b481908738dbb69556bc62 |
completed | May 8, 2026, 6:44 a.m. |
| PD | Predicate disambiguation | batch_69fd8373b6bc819091c554f29ee17fec |
completed | May 8, 2026, 6:32 a.m. |
| PDg | Predicate description generation | batch_69fd8640e1d4819081c98f15eeb221ab |
completed | May 8, 2026, 6:44 a.m. |
Created at: May 1, 2026, 1:36 a.m.