Triple
T23002248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polar (2019 film) |
E572664
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Dody Dorn |
—
|
NE NERFINISHED |
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: Dody Dorn | Statement: [Polar (2019 film), editedBy, Dody Dorn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dody Dorn Context triple: [Polar (2019 film), editedBy, Dody Dorn]
-
A.
Dody Dorn
chosen
Dody Dorn is an American film editor known for her work on movies such as "Memento" and collaborations with directors like Christopher Nolan and David Ayer.
-
B.
Dody Teachman
Dody Teachman is an American figure skating coach best known for working with former U.S. champion Tonya Harding.
-
C.
Ronnie Dove
Ronnie Dove is an American pop and country singer best known for his string of romantic hits in the 1960s.
-
D.
Faye Dorn
Faye Dorn is a television producer best known for her executive production work on the dark comedy-drama series "Bad Sisters."
-
E.
Dori Bridges
Dori Bridges is known as the former wife of American actor Todd Bridges, who starred as Willis Jackson on the classic sitcom "Diff'rent Strokes."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b6a3ac81908087599eefe3e365 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18353d05481909abacb48a14ef21e |
completed | April 29, 2026, 4:04 a.m. |
Created at: April 17, 2026, 3:50 p.m.