Triple
T13083852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The French Dispatch |
E310278
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Jeremy Dawson |
E240276
|
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: Jeremy Dawson | Statement: [The French Dispatch, producer, Jeremy Dawson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeremy Dawson Context triple: [The French Dispatch, producer, Jeremy Dawson]
-
A.
Jeremy Dawson
chosen
Jeremy Dawson is a film producer best known for his work on Wes Anderson’s movies, including the acclaimed feature "The Grand Budapest Hotel."
-
B.
Mark Dawson
Mark Dawson is one of the children of the late British-American actor and game show host Richard Dawson.
-
C.
Sam Dawson
Sam Dawson is a developmentally disabled single father who fights a legal battle to retain custody of his young daughter in the film "I Am Sam."
-
D.
Matthew Dawson
Matthew Dawson was a prominent 19th-century British racehorse trainer renowned for preparing multiple classic-winning Thoroughbreds.
-
E.
Dorian Crozier
Dorian Crozier is a music producer and drummer known for his studio work and collaborations with various rock and pop artists.
- 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_69f6d60e7b48819087e4583a5736c1df |
completed | May 3, 2026, 4:58 a.m. |
Created at: April 9, 2026, 9:02 p.m.