Triple
T3803971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johnny Belinda |
E91757
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | David Weisbart |
E231635
|
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: David Weisbart | Statement: [Johnny Belinda, editedBy, David Weisbart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Weisbart Context triple: [Johnny Belinda, editedBy, David Weisbart]
-
A.
David Weisbart
chosen
David Weisbart was an American film editor and producer best known for his work on influential mid-20th-century Hollywood dramas and youth-oriented films.
-
B.
David Weisberg
David Weisberg is a screenwriter best known for co-writing the action film "The Rock" and other Hollywood thrillers.
-
C.
Philip Bruns
Philip Bruns was an American character actor best known for his television and film roles in the 1970s and 1980s, including his work on the satirical soap opera "Mary Hartman, Mary Hartman."
-
D.
Stephen Schaffer
Stephen Schaffer is a film editor best known for his work on major animated features, including Pixar's acclaimed movie WALL-E.
-
E.
David Wechter
David Wechter is an American screenwriter and filmmaker best known for co-writing genre films such as the sci-fi horror movie "The Faculty."
- 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_69aed96354f48190a768966d6bd19b04 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee7bc240881909e91b7b99403a13c |
completed | March 9, 2026, 3:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4fb270b008190bbd87cbddacb7204 |
completed | March 14, 2026, 6:07 a.m. |
Created at: March 9, 2026, 3:15 p.m.