Triple
T21482150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PeaPie Films |
E530019
|
entity |
| Predicate | produced |
P490
|
FINISHED |
| Object | Burnt |
—
|
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: Burnt | Statement: [PeaPie Films, produced, Burnt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burnt Context triple: [PeaPie Films, produced, Burnt]
-
A.
Burnt
chosen
Burnt is a 2015 drama-comedy film about a talented but troubled chef seeking redemption in the high-pressure world of haute cuisine.
-
B.
Burned
Burned is a mystery novel by American author Carol Higgins Clark, featuring her recurring sleuth Regan Reilly in a suspenseful, lighthearted whodunit.
-
C.
The Burn
The Burn is a song by the 1990s American rock supergroup Mad Season, known for its moody, blues-influenced sound and introspective lyrics.
-
D.
The Burn
The Burn is the nickname of Broxburn Athletic Football Club, a Scottish association football team based in Broxburn, West Lothian.
-
E.
Ya Burnt
"Ya Burnt" is a recurring comedic rant segment on Late Night with Seth Meyers in which Meyers humorously calls out and "burns" various topics, trends, and public figures.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c45acc3881908e38d3f28964152b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea34c4388190adc78d209d2aafb8 |
completed | April 23, 2026, 9:45 a.m. |
Created at: April 16, 2026, 6:21 p.m.