Triple
T14752225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burnt |
E346637
|
entity |
| Predicate | editedBy |
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, editedBy, Nick Moore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nick Moore Context triple: [Burnt, editedBy, 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.
Matthew Moore
Matthew Moore is an American professional football quarterback known for his NFL career with teams such as the Carolina Panthers and Miami Dolphins.
-
E.
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."
- 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7d40efc8190bb1be34c19a2b57c |
completed | April 14, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b43360481908dc73d5e6758fea6 |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 10, 2026, 1:30 a.m.