Triple
T4584342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pennebaker Hegedus Films |
E101931
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Chris Hegedus |
E454614
|
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: Chris Hegedus | Statement: [Pennebaker Hegedus Films, associatedWith, Chris Hegedus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris Hegedus Context triple: [Pennebaker Hegedus Films, associatedWith, Chris Hegedus]
-
A.
Chris Hegedus
chosen
Chris Hegedus is an American documentary filmmaker known for her long-time collaboration with D. A. Pennebaker on influential cinéma vérité films.
-
B.
Vern Sneider
Vern Sneider was an American novelist best known for his humorous and satirical depictions of post–World War II American military occupation and cross-cultural encounters.
-
C.
Paul Hirsch
Paul Hirsch is an American film editor renowned for his work on major Hollywood films, including the original Star Wars.
-
D.
Michael P. Steinberg
Michael P. Steinberg is an American historian and musicologist known for his scholarship on German cultural and intellectual history and his leadership roles in higher education.
-
E.
Bud Yorkin
Bud Yorkin was an American television producer and director best known for his influential work in 1970s sitcoms that helped redefine socially conscious TV comedy.
- 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_69bd43d4ce208190b53158c882b222e3 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd590411dc81909c55d1c42a4d44ef |
completed | March 20, 2026, 2:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be102049d481908743d66f76905c69 |
completed | March 21, 2026, 3:27 a.m. |
Created at: March 20, 2026, 1:10 p.m.