Triple
T14290713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Burning |
E354301
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Brian Backer |
E858016
|
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: Brian Backer | Statement: [The Burning, stars, Brian Backer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brian Backer Context triple: [The Burning, stars, Brian Backer]
-
A.
Brian Backer
chosen
Brian Backer is an American actor best known for his role as the shy and awkward Mark Ratner in the 1982 teen comedy film "Fast Times at Ridgemont High."
-
B.
Jacob Backer
Jacob Backer was a Dutch Golden Age painter known for his refined portraits and history paintings, influenced by his early association with Rembrandt’s circle.
-
C.
Chris Bergoch
Chris Bergoch is an American screenwriter and producer best known for his collaborations with director Sean Baker on acclaimed independent films such as "The Florida Project" and "Tangerine."
-
D.
John Reister
John Reister was an early settler and landowner after whom the community of Reisterstown, Maryland, was named.
-
E.
Trevor Back
Trevor Back is a researcher known for co-authoring the landmark 2021 Nature paper on AlphaFold, DeepMind’s breakthrough AI system for protein structure prediction.
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6981e9148190baf2ed56a7b7340e |
completed | April 14, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd46812ed48190b879afe9a93784e8 |
completed | May 8, 2026, 2:12 a.m. |
Created at: April 10, 2026, 1:11 a.m.