Triple
T6889544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pollock |
E159009
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Fred Berner
Fred Berner is an American film and television producer known for his work on acclaimed projects such as the biographical drama "Pollock."
|
E627638
|
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: Fred Berner | Statement: [Pollock, producer, Fred Berner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fred Berner Context triple: [Pollock, producer, Fred Berner]
-
A.
Bernie Kukoff
Bernie Kukoff is an American television writer and producer best known for co-creating the popular sitcom "Diff'rent Strokes."
-
B.
Edward Allen Bernero
Edward Allen Bernero is an American television writer, producer, and director best known for his work on crime and procedural dramas such as Third Watch and Criminal Minds.
-
C.
Fred Schuler
Fred Schuler is a cinematographer best known for his work on films such as the 1980 comedy "Stir Crazy."
-
D.
Jerome Boger
Jerome Boger is a former NFL official best known for serving as the head referee in Super Bowl XLVII.
-
E.
Bernie Ulman
Bernie Ulman was a prominent American football official best known for serving as a referee in the National Football League, including officiating major games such as Super Bowl IX.
- 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: Fred Berner Triple: [Pollock, producer, Fred Berner]
Generated description
Fred Berner is an American film and television producer known for his work on acclaimed projects such as the biographical drama "Pollock."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fred Berner Target entity description: Fred Berner is an American film and television producer known for his work on acclaimed projects such as the biographical drama "Pollock."
-
A.
Bernie Kukoff
Bernie Kukoff is an American television writer and producer best known for co-creating the popular sitcom "Diff'rent Strokes."
-
B.
Edward Allen Bernero
Edward Allen Bernero is an American television writer, producer, and director best known for his work on crime and procedural dramas such as Third Watch and Criminal Minds.
-
C.
Fred Schuler
Fred Schuler is a cinematographer best known for his work on films such as the 1980 comedy "Stir Crazy."
-
D.
Jerome Boger
Jerome Boger is a former NFL official best known for serving as the head referee in Super Bowl XLVII.
-
E.
Bernie Ulman
Bernie Ulman was a prominent American football official best known for serving as a referee in the National Football League, including officiating major games such as Super Bowl IX.
- 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_69c6883568c8819081db6407e892cccc |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d9117c84819093dad7b765337b63 |
completed | March 27, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c748cc2f908190b593cd82133a7b16 |
completed | March 28, 2026, 3:19 a.m. |
| NEDg | Description generation | batch_69c749d4b088819095f991f976592d04 |
completed | March 28, 2026, 3:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c74aab12988190bd23cfcc06c55cde |
completed | March 28, 2026, 3:27 a.m. |
Created at: March 27, 2026, 2:23 p.m.