Triple
T5591225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burnt |
E146881
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Nick Moore |
E143789
|
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: Nick Moore | Statement: [Burnt, editor, Nick Moore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nick Moore Context triple: [Burnt, editor, Nick Moore]
-
A.
Nick Moore
chosen
Nick Moore is a British film editor best known for his work on popular films such as "Love Actually."
-
B.
Tim Moore
Tim Moore is a film producer best known for his frequent collaborations with director Clint Eastwood on movies such as "Sully," "American Sniper," and "Gran Torino."
-
C.
Jeremy Moore
Jeremy Moore was a British Army lieutenant general best known for commanding UK land forces during the 1982 Falklands War.
-
D.
Chris Moore
Chris Moore is an American film producer known for his work on acclaimed independent films, including the Oscar-winning drama "Manchester by the Sea."
-
E.
Scott Moore
Scott Moore is an American screenwriter best known for co-writing the hit comedy film "The Hangover."
- 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_69c05a00985881909d441cfe05cb6afe |
completed | March 22, 2026, 9:07 p.m. |
Created at: March 22, 2026, 3:38 p.m.