Triple
T33431666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brighton Miracle |
E856145
|
entity |
| Predicate | hasFilmDramatisation |
P198015
|
FINISHED |
| Object | The Brighton Miracle (2019 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: The Brighton Miracle (2019 film) | Statement: [Brighton Miracle, hasFilmDramatisation, The Brighton Miracle (2019 film)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFilmDramatisation Context triple: [Brighton Miracle, hasFilmDramatisation, The Brighton Miracle (2019 film)]
-
A.
hasFilmAdaptations
chosen
Indicates that a work has been adapted into one or more films.
-
B.
hasDramatizationOf
Indicates that one work or performance is a dramatized adaptation or representation of another source work or event.
-
C.
hasTelevisionFilmAdaptation
Indicates that a work has been adapted into a film produced specifically for television.
-
D.
hasPreviousFilmAdaptation
Indicates that a work has been adapted into a film before the current or referenced adaptation.
-
E.
hasLaterFilmAdaptation
Indicates that a work has been adapted into a film that was released at a later time than the 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_69f349709e7881908c342b4d34f555f4 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff246e0d4481908bcec718e1d4025b |
completed | May 9, 2026, 12:11 p.m. |
| PD | Predicate disambiguation | batch_69ff23cb70ac81909b776ace4597ae9c |
completed | May 9, 2026, 12:08 p.m. |
Created at: May 1, 2026, 1:36 a.m.