Triple

T7909993
Position Surface form Disambiguated ID Type / Status
Subject The Other Sister E183671 entity
Predicate screenwriter P2831 FINISHED
Object Bob Brunner
Bob Brunner was an American television and film writer and producer best known for his work on the sitcom "Happy Days" and contributions to various comedy projects.
E700755 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: Bob Brunner | Statement: [The Other Sister, screenwriter, Bob Brunner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bob Brunner
Context triple: [The Other Sister, screenwriter, Bob Brunner]
  • A. Ted Bruner
    Ted Bruner is an American songwriter and record producer known for his work on mainstream pop and rock albums, including Katy Perry’s "One of the Boys."
  • B. Eric Brenner
    Eric Brenner is a film producer known for his work on independent movies, including the action drama "Mercury Plains."
  • C. James Brockman
    James Brockman was an American songwriter and lyricist best known for his work in early 20th-century popular music, including classic Tin Pan Alley songs.
  • D. Michael Brickler
    Michael Brickler is an entrepreneur best known as a co-founder of the architecture and design firm Morphosis.
  • E. Larry Kellner
    Larry Kellner is an American business executive best known for leading Continental Airlines as its chief executive officer.
  • 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: Bob Brunner
Triple: [The Other Sister, screenwriter, Bob Brunner]
Generated description
Bob Brunner was an American television and film writer and producer best known for his work on the sitcom "Happy Days" and contributions to various comedy projects.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bob Brunner
Target entity description: Bob Brunner was an American television and film writer and producer best known for his work on the sitcom "Happy Days" and contributions to various comedy projects.
  • A. Ted Bruner
    Ted Bruner is an American songwriter and record producer known for his work on mainstream pop and rock albums, including Katy Perry’s "One of the Boys."
  • B. Eric Brenner
    Eric Brenner is a film producer known for his work on independent movies, including the action drama "Mercury Plains."
  • C. James Brockman
    James Brockman was an American songwriter and lyricist best known for his work in early 20th-century popular music, including classic Tin Pan Alley songs.
  • D. Michael Brickler
    Michael Brickler is an entrepreneur best known as a co-founder of the architecture and design firm Morphosis.
  • E. Larry Kellner
    Larry Kellner is an American business executive best known for leading Continental Airlines as its chief executive officer.
  • 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_69ca828dec0c81908b8f55a4dbbb53ff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a5db9508190bbe92673ef5a7861 completed March 31, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5bd54f548190916bf00852f37224 completed March 31, 2026, 5:29 a.m.
NEDg Description generation batch_69cb78f72878819086092c9fe267e37f completed March 31, 2026, 7:34 a.m.
NED2 Entity disambiguation (via description) batch_69cbbf2a357081908ac2230f0dfd9cdc completed March 31, 2026, 12:33 p.m.
Created at: March 30, 2026, 5:04 p.m.