Triple
T20702073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milk (2008 film) |
E508808
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Dan Jinks |
—
|
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: Dan Jinks | Statement: [Milk (2008 film), producer, Dan Jinks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Jinks Context triple: [Milk (2008 film), producer, Dan Jinks]
-
A.
Dan Jinks
chosen
Dan Jinks is an American film and television producer best known for acclaimed movies such as "American Beauty" and "Big Fish."
-
B.
Dan Harkins
Dan Harkins is a computer security researcher and cryptographer known for designing and contributing to widely used key exchange and authentication protocols.
-
C.
Steve Jinks
Steve Jinks is a former ATF agent with the unique ability to detect lies who becomes a key government artifact hunter on the science-fiction TV series "Warehouse 13."
-
D.
Dan Elswick
Dan Elswick is a music video director known for directing the video for the song "Don't Drink the Water."
-
E.
Steve Judd
Steve Judd is the aging, principled former lawman at the heart of the Western film "Ride the High Country," whose moral integrity drives the story’s central conflict.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4c2b2a481909e31e9cb8f81ab55 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c18cb9cc819095d0669dca037424 |
completed | April 21, 2026, 12:15 a.m. |
Created at: April 16, 2026, 12:12 p.m.