Triple
T13083854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The French Dispatch |
E310278
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Andrew Weisblum |
E240496
|
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: Andrew Weisblum | Statement: [The French Dispatch, editedBy, Andrew Weisblum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrew Weisblum Context triple: [The French Dispatch, editedBy, Andrew Weisblum]
-
A.
Andrew Weisblum
chosen
Andrew Weisblum is an American film editor known for his work on major feature films, including collaborations with directors like Darren Aronofsky and Wes Anderson.
-
B.
Sam Weisman
Sam Weisman is an American film and television director and producer known for his work on comedies such as "George of the Jungle" and various popular TV series.
-
C.
Todd Lieberman
Todd Lieberman is an American film producer known for his work on acclaimed movies such as "The Fighter" and other major Hollywood productions.
-
D.
Jed Weitzman
Jed Weitzman is the stepson of actor Henry Winkler, known for his long-running role as Fonzie on the television series "Happy Days."
-
E.
Ben D. Waisbren
Ben D. Waisbren is a film producer known for financing and producing major studio and independent movies.
- 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_69d806a733548190989cfd4ce981ca33 |
completed | April 9, 2026, 8:05 p.m. |
| NER | Named-entity recognition | batch_69d981361e8c819099376435aa3a7aa3 |
completed | April 10, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c6f5c0d88190b51cd65f6b7f8e6d |
completed | May 3, 2026, 10:06 p.m. |
Created at: April 9, 2026, 9:02 p.m.