Triple
T33197813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 6th Academy Awards |
E849813
|
entity |
| Predicate | bestArtDirectionFilm |
P36456
|
FINISHED |
| Object | Cavalcade |
—
|
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: Cavalcade | Statement: [6th Academy Awards, bestArtDirectionFilm, Cavalcade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestArtDirectionFilm Context triple: [6th Academy Awards, bestArtDirectionFilm, Cavalcade]
-
A.
bestArtDirectionWinner
chosen
Indicates that the subject is the winner of an award for best art direction in a given context or event.
-
B.
bestDirectorFilm
Indicates that a film is the work for which a director received a Best Director award.
-
C.
bestAssistantDirectorWinnerFilm
Indicates that a film is the work for which a particular assistant director won the Best Assistant Director award.
-
D.
bestCinematographyWinner
Indicates that the subject is the work or individual that won the award for best cinematography in a given context or event.
-
E.
bestDirectorWinner
Indicates that the subject is the winner of a "Best Director" award for the object (such as a specific film, event, or year).
- 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_69f3495efedc8190843a5728089544b9 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7465687bc8190a9da44d62b634ed7 |
completed | May 3, 2026, 12:57 p.m. |
| PD | Predicate disambiguation | batch_69f743f4ceb08190a21fe7f4a99b166b |
completed | May 3, 2026, 12:47 p.m. |
Created at: May 1, 2026, 1:29 a.m.