Triple
T1108013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Into the Woods (2014 film) |
E25529
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Wyatt Smith |
E149891
|
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: Wyatt Smith | Statement: [Into the Woods (2014 film), editor, Wyatt Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wyatt Smith Context triple: [Into the Woods (2014 film), editor, Wyatt Smith]
-
A.
Wyatt Smith
chosen
Wyatt Smith is an American film editor known for his work on major studio productions, including musical and fantasy films.
-
B.
Wyatt
Wyatt is a surname of English origin borne by various notable individuals across fields such as politics, sports, and the arts.
-
C.
Dylan Highsmith
Dylan Highsmith is a film editor best known for his work on major action and science-fiction movies, including Pacific Rim: Uprising.
-
D.
Austin Rivers
Austin Rivers is an American professional basketball player known for his scoring ability and time in the NBA with multiple teams, including the Los Angeles Clippers and Houston Rockets.
-
E.
Evan Washburn
Evan Washburn is an American sports reporter best known as a sideline correspondent for CBS’s NFL coverage, including major events like the Super Bowl.
- 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_69a49428d4448190b3b36991ceae87ce |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b9e47e4881908928900df72781f0 |
completed | March 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbf10d9488190b199a70335430a90 |
completed | March 8, 2026, 12:13 a.m. |
Created at: March 1, 2026, 7:43 p.m.