Triple
T24326808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ernest film series |
E613122
|
entity |
| Predicate | includesSportsFilm |
P155736
|
FINISHED |
| Object | Slam Dunk Ernest |
—
|
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: Slam Dunk Ernest | Statement: [Ernest film series, includesSportsFilm, Slam Dunk Ernest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesSportsFilm Context triple: [Ernest film series, includesSportsFilm, Slam Dunk Ernest]
-
A.
includesSport
Indicates that one entity contains, offers, or features a particular sport as part of its activities, content, or composition.
-
B.
notableSportIncluded
Indicates that a particular sport is prominently featured or included as a notable component within something, such as an event, program, or context.
-
C.
portraysSport
Indicates that one entity visually or narratively represents or depicts a particular sport.
-
D.
appliesToSports
Indicates that something is relevant, appropriate, or specifically intended for use in the context of sports.
-
E.
sportsAndEntertainmentChannel
Indicates a channel whose primary content focuses on sports events and entertainment programming.
- 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_69e2d7db6d5c819091194918157a7c1f |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f292edb6f481909f0a6a7592fd7d6a |
completed | April 29, 2026, 11:23 p.m. |
| PD | Predicate disambiguation | batch_69f287ad30048190b3ad3613486f277f |
completed | April 29, 2026, 10:35 p.m. |
| PDg | Predicate description generation | batch_69f28b7ff1808190870dfe9af789a1eb |
completed | April 29, 2026, 10:51 p.m. |
Created at: April 18, 2026, 1:54 a.m.