Triple
T37129729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leslie Mann as Patty Peterson |
E919483
|
entity |
| Predicate | editedByInFilm |
P187175
|
FINISHED |
| Object | Michael Andrews |
—
|
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: Michael Andrews | Statement: [Leslie Mann as Patty Peterson, editedByInFilm, Michael Andrews]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: editedByInFilm Context triple: [Leslie Mann as Patty Peterson, editedByInFilm, Michael Andrews]
-
A.
editedByFilm
Indicates that a film was edited by a particular person or entity responsible for its film editing.
-
B.
editedFilmForDirector
Indicates that one person performed film editing work on a movie under the direction or supervision of a specific director.
-
C.
editedFilm
Indicates that one entity performed the film editing work on another entity, which is a film.
-
D.
editedFilmOf
Indicates that one entity is the film that has been edited by the other entity.
-
E.
editedBy
Indicates that one entity has revised, modified, or otherwise made editorial changes to another entity.
- F. None of above. chosen
Provenance (4 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_69f76e9d13e48190a108f7fbf80ff375 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb344c60f8819090f2e21e1e61d621 |
completed | May 6, 2026, 12:30 p.m. |
| PD | Predicate disambiguation | batch_69fb2f642db08190b562725502c74ea6 |
completed | May 6, 2026, 12:09 p.m. |
| PDg | Predicate description generation | batch_69fb344ba5408190a6fe8face293d88b |
completed | May 6, 2026, 12:30 p.m. |
Created at: May 3, 2026, 4:15 p.m.