Triple
T22093119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orphan (2009 film) |
E545957
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Daniel Coleman |
—
|
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: Daniel Coleman | Statement: [Orphan (2009 film), mainCharacter, Daniel Coleman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Coleman Context triple: [Orphan (2009 film), mainCharacter, Daniel Coleman]
-
A.
Wesley Wyndam-Pryce
Wesley Wyndam-Pryce is a former Watcher turned morally conflicted demon hunter and scholar, best known as a central character on the TV series "Angel."
-
B.
Sam Kendricks
Sam Kendricks is an American pole vaulter and Olympic medalist known for his multiple World Championship titles and national records in the event.
-
C.
Roger Black
Roger Black is an American comedian, writer, and animator best known for co-creating the adult animated television series Brickleberry.
-
D.
Sean Canning
Sean Canning is a notable individual who shares the Canning surname, recognized for achievements that distinguish him among others with that name.
-
E.
Aaron Lohr
chosen
Aaron Lohr is an American actor and singer known for his roles in films like "The Mighty Ducks" series and "Newsies," as well as for his work in musical theatre.
- 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_69e11e36d03c8190a83a1ba802b7231b |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128e6b1d881909bf0f4a52199354c |
completed | April 28, 2026, 9:38 p.m. |
Created at: April 16, 2026, 8:29 p.m.