Triple

T915150
Position Surface form Disambiguated ID Type / Status
Subject Clarence Darrow E19751 entity
Predicate child P120 FINISHED
Object Paul Darrow
Paul Darrow was the son of famed American lawyer Clarence Darrow and a businessman who managed many of his father's financial affairs.
 E118388 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: Paul Darrow | Statement: [Clarence Darrow, child, Paul Darrow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Paul Darrow
Context triple: [Clarence Darrow, child, Paul Darrow]
  • A. Russell Carpenter
    Russell Carpenter is an Academy Award–winning American cinematographer best known for his work on major films such as Titanic and other high-profile Hollywood productions.
  • B. Jack Briggs
    Jack Briggs was an American actor best known for his marriage to Hollywood star Ginger Rogers.
  • C. C. J. Cregg
    C. J. Cregg is a fictional White House Press Secretary and later Chief of Staff on the political drama series "The West Wing," known for her sharp wit, integrity, and commanding presence in the briefing room.
  • D. Richard Johns
    Richard Johns is a senior Royal Air Force officer who served as Air Officer Commanding-in-Chief of Fighter Command.
  • E. Jason Clark
    Jason Clark is a television and film producer best known for his work on science-themed documentary series such as "Cosmos: Possible Worlds."
  • 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: Paul Darrow
Triple: [Clarence Darrow, child, Paul Darrow]
Generated description
Paul Darrow was the son of famed American lawyer Clarence Darrow and a businessman who managed many of his father's financial affairs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Paul Darrow
Target entity description: Paul Darrow was the son of famed American lawyer Clarence Darrow and a businessman who managed many of his father's financial affairs.
  • A. Russell Carpenter
    Russell Carpenter is an Academy Award–winning American cinematographer best known for his work on major films such as Titanic and other high-profile Hollywood productions.
  • B. Jack Briggs
    Jack Briggs was an American actor best known for his marriage to Hollywood star Ginger Rogers.
  • C. C. J. Cregg
    C. J. Cregg is a fictional White House Press Secretary and later Chief of Staff on the political drama series "The West Wing," known for her sharp wit, integrity, and commanding presence in the briefing room.
  • D. Richard Johns
    Richard Johns is a senior Royal Air Force officer who served as Air Officer Commanding-in-Chief of Fighter Command.
  • E. Jason Clark
    Jason Clark is a television and film producer best known for his work on science-themed documentary series such as "Cosmos: Possible Worlds."
  • 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_69a4939f91a08190ba68c2c81eab90fe completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b2f605bc8190a5245aa2ca55cf43 completed March 1, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac2a0d31e8819091d3402546d8fa33 completed March 7, 2026, 1:37 p.m.
NEDg Description generation batch_69ac2a7b1a148190950d40db59a6c0de completed March 7, 2026, 1:39 p.m.
NED2 Entity disambiguation (via description) batch_69ac2ad8a14c819086d21ba068aedf2f completed March 7, 2026, 1:40 p.m.
Created at: March 1, 2026, 7:39 p.m.