Triple
T11020321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Climax (2018 film) |
E260469
|
entity |
| Predicate | hasEndCreditsOrder |
P96614
|
FINISHED |
| Object | opening credits appear mid-film |
—
|
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: opening credits appear mid-film | Statement: [Climax (2018 film), hasEndCreditsOrder, opening credits appear mid-film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEndCreditsOrder Context triple: [Climax (2018 film), hasEndCreditsOrder, opening credits appear mid-film]
-
A.
hasPostCreditsScene
Indicates that a film or episode includes a scene that appears during or after the closing credits.
-
B.
hasOpeningCreditsUsage
Indicates that something is used or appears specifically in the opening credits of a work.
-
C.
hasUnfinishedEnding
Indicates that an entity concludes in an incomplete, unresolved, or open-ended manner rather than reaching a fully finished state.
-
D.
hasFinaleMovement
Indicates that one entity (typically a musical work or performance) includes another entity as its concluding or final movement.
-
E.
hasAfterMovie
Indicates that one movie or media work occurs or is intended to be watched immediately after another as a follow-up or subsequent viewing.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797baad408190a53fd6941a750f68 |
completed | April 9, 2026, 12:12 p.m. |
| PD | Predicate disambiguation | batch_69d72e995e008190bbffb314129ed0cd |
completed | April 9, 2026, 4:44 a.m. |
| PDg | Predicate description generation | batch_69d732242fdc8190be77d1f730a42935 |
completed | April 9, 2026, 4:59 a.m. |
Created at: April 8, 2026, 9:25 p.m.