Triple

T2747072
Position Surface form Disambiguated ID Type / Status
Subject The Rose E60894 entity
Predicate screenwriter P2831 FINISHED
Object Bill Kerby
Bill Kerby is an American screenwriter known for his work on films such as "The Rose" and other character-driven dramas.
 E301303 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: Bill Kerby | Statement: [The Rose, screenwriter, Bill Kerby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bill Kerby
Context triple: [The Rose, screenwriter, Bill Kerby]
  • A. Thomas Kinnear
    Thomas Kinnear is a fictional Canadian gentleman and murder victim in Margaret Atwood’s novel "Alias Grace," whose death is central to the story’s mystery.
  • B. Bill Baker
    Bill Baker is an American former ice hockey defenseman best known for his clutch play as a member of the "Miracle on Ice" 1980 U.S. Olympic team.
  • C. Ted Cheesman
    Ted Cheesman was a film editor best known for his work on classic Hollywood productions, including the 1933 monster film "King Kong."
  • D. Donn Cambern
    Donn Cambern was an American film editor known for his work on numerous prominent Hollywood films, including the adventure comedy "Romancing the Stone."
  • E. John Kibler
    John Kibler was a longtime Major League Baseball umpire best known for serving as crew chief during the 1986 World Series.
  • 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: Bill Kerby
Triple: [The Rose, screenwriter, Bill Kerby]
Generated description
Bill Kerby is an American screenwriter known for his work on films such as "The Rose" and other character-driven dramas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bill Kerby
Target entity description: Bill Kerby is an American screenwriter known for his work on films such as "The Rose" and other character-driven dramas.
  • A. Thomas Kinnear
    Thomas Kinnear is a fictional Canadian gentleman and murder victim in Margaret Atwood’s novel "Alias Grace," whose death is central to the story’s mystery.
  • B. Bill Baker
    Bill Baker is an American former ice hockey defenseman best known for his clutch play as a member of the "Miracle on Ice" 1980 U.S. Olympic team.
  • C. Ted Cheesman
    Ted Cheesman was a film editor best known for his work on classic Hollywood productions, including the 1933 monster film "King Kong."
  • D. Donn Cambern
    Donn Cambern was an American film editor known for his work on numerous prominent Hollywood films, including the adventure comedy "Romancing the Stone."
  • E. John Kibler
    John Kibler was a longtime Major League Baseball umpire best known for serving as crew chief during the 1986 World Series.
  • 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_69ab4b79846081909096725374d65ce9 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb4ff7b08190b72edb6a2bc5fd19 completed March 7, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69afce87cb3c8190a9cb28a443b787e0 completed March 10, 2026, 7:55 a.m.
NEDg Description generation batch_69afcfb39a808190a238df2b0c958ee6 completed March 10, 2026, 8 a.m.
NED2 Entity disambiguation (via description) batch_69afd00cff448190b9b580f972494d8c completed March 10, 2026, 8:02 a.m.
Created at: March 6, 2026, 9:56 p.m.