Triple
T5591214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burnt |
E146881
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Burnt |
E346637
|
NE 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: Burnt | Statement: [Burnt, title, Burnt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burnt Context triple: [Burnt, title, 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.
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.
-
C.
The Burning
The Burning is a 1981 American slasher film, notable for its summer-camp setting and early special effects work by makeup artist Tom Savini.
-
D.
The Burning
The Burning was a Union scorched-earth campaign in the Shenandoah Valley during the American Civil War, aimed at destroying Confederate resources and crippling the region’s ability to support the Southern war effort.
-
E.
Burn This
Burn This is a 1987 stage play by Lanford Wilson that explores grief, identity, and complex relationships in New York’s downtown arts scene.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c009036c408190981a8d690b679b67 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020a3365c8190bd223226c0a6969f |
completed | March 22, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0286852148190ad4975fe746d7001 |
completed | March 22, 2026, 5:35 p.m. |
Created at: March 22, 2026, 3:38 p.m.