Triple
T15033661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Brothers Grimm |
E378421
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Daniel Bobker |
E378421
|
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: Daniel Bobker | Statement: [The Brothers Grimm, producer, Daniel Bobker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Bobker Context triple: [The Brothers Grimm, producer, Daniel Bobker]
-
A.
Daniel Bobker
chosen
Daniel Bobker is a film producer known for his work on genre and fantasy projects, including the movie "The Brothers Grimm."
-
B.
Jeremy Shamos
Jeremy Shamos is an American stage and screen actor known for his work on Broadway and in film and television.
-
C.
Philip Chosky
Philip Chosky was a philanthropist and benefactor known for his significant support of the arts, particularly theater.
-
D.
Jonathan Meiburg
Jonathan Meiburg is an American musician, writer, and ornithologist best known as the frontman of the band Shearwater and for his atmospheric, nature-inspired indie rock.
-
E.
David Lanzenberg
David Lanzenberg is a film cinematographer known for his work on feature films such as "Paper Towns."
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7e3a7c8819081f26c2435c1bcb2 |
completed | April 15, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dddd0208190b2dac7a078de2931 |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 10, 2026, 2:59 a.m.