Triple
T3659195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Brothers Grimm |
E77607
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Daniel Bobker
Daniel Bobker is a film producer known for his work on genre and fantasy projects, including the movie "The Brothers Grimm."
|
E378421
|
NE FINISHED |
How this triple was built (4 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.
Jeremy Shamos
Jeremy Shamos is an American stage and screen actor known for his work on Broadway and in film and television.
-
B.
David Lanzenberg
David Lanzenberg is a film cinematographer known for his work on feature films such as "Paper Towns."
-
C.
Jonathan Teplitzky
Jonathan Teplitzky is an Australian film director known for character-driven dramas such as "The Railway Man" and "Burning Man."
-
D.
Stephen Tenenbaum
Stephen Tenenbaum is a film producer best known for his frequent collaborations with director Woody Allen on numerous critically acclaimed movies.
-
E.
Jonathan Stuart Leibowitz
Jonathan Stuart Leibowitz is an American comedian, writer, producer, and former host of "The Daily Show," better known professionally as Jon Stewart.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Daniel Bobker Triple: [The Brothers Grimm, producer, Daniel Bobker]
Generated description
Daniel Bobker is a film producer known for his work on genre and fantasy projects, including the movie "The Brothers Grimm."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Daniel Bobker Target entity description: Daniel Bobker is a film producer known for his work on genre and fantasy projects, including the movie "The Brothers Grimm."
-
A.
Jeremy Shamos
Jeremy Shamos is an American stage and screen actor known for his work on Broadway and in film and television.
-
B.
David Lanzenberg
David Lanzenberg is a film cinematographer known for his work on feature films such as "Paper Towns."
-
C.
Jonathan Teplitzky
Jonathan Teplitzky is an Australian film director known for character-driven dramas such as "The Railway Man" and "Burning Man."
-
D.
Stephen Tenenbaum
Stephen Tenenbaum is a film producer best known for his frequent collaborations with director Woody Allen on numerous critically acclaimed movies.
-
E.
Jonathan Stuart Leibowitz
Jonathan Stuart Leibowitz is an American comedian, writer, producer, and former host of "The Daily Show," better known professionally as Jon Stewart.
- F. None of above. chosen
Provenance (5 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_69ad85dfc4dc8190a441864202ab2a7a |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3d5e5f881909c7c105827d41071 |
completed | March 8, 2026, 6:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b48842b28881908c6a077cfaa8b092 |
completed | March 13, 2026, 9:57 p.m. |
| NEDg | Description generation | batch_69b48e0d2cfc8190b55d8060cc092411 |
completed | March 13, 2026, 10:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4b96e73fc8190aa11d1e1a06d5c25 |
completed | March 14, 2026, 1:27 a.m. |
Created at: March 8, 2026, 3:25 p.m.