Triple
T10544703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snow White and the Huntsman |
E248786
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Neil Smith |
E248786
|
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: Neil Smith | Statement: [Snow White and the Huntsman, editor, Neil Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neil Smith Context triple: [Snow White and the Huntsman, editor, Neil Smith]
-
A.
Neil Smith
chosen
Neil Smith is a film editor known for his work on major feature films, including the fantasy action movie "Snow White and the Huntsman."
-
B.
David Soward
David Soward is an entrepreneur best known as a co-founder of the cosmetics brand Urban Decay, which helped popularize edgy, alternative makeup in the 1990s.
-
C.
Peter McLaren
Peter McLaren is a prominent critical pedagogue and educational theorist known for his Marxist-informed analyses of schooling, social justice, and revolutionary education.
-
D.
Russell Smith
Russell Smith is a film producer best known for his work on the acclaimed coming-of-age drama "Young Adult."
-
E.
Martin Lisemore
Martin Lisemore was a British television producer best known for his acclaimed work on high-profile BBC drama series in the 1970s.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d519128cac819086c93f3bab854ac2 |
completed | April 7, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b23b2988190b536d5ecb76298ff |
completed | April 10, 2026, 7:10 p.m. |
Created at: April 6, 2026, 12:33 p.m.