Triple

T8103469
Position Surface form Disambiguated ID Type / Status
Subject Paul Newman E189168 entity
Predicate parentOf P120 FINISHED
Object Scott Newman
Scott Newman was an American actor and the son of legendary film star Paul Newman, whose promising career was cut short by his early death.
 E711609 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: Scott Newman | Statement: [Paul Newman, parentOf, Scott Newman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Scott Newman
Context triple: [Paul Newman, parentOf, Scott Newman]
  • A. Chris Newman
    Chris Newman is an Internet standards engineer and author known for his contributions to email and messaging protocols within the IETF.
  • B. Joe Newman
    Joe Newman was an American jazz trumpeter best known for his work with big bands, particularly the Count Basie Orchestra.
  • C. Bobby Newmyer
    Bobby Newmyer was an American film producer known for backing gritty, character-driven movies in Hollywood, including the crime thriller "Training Day."
  • D. Brian Routh
    Brian Routh was a British performance artist and musician best known as one half of the avant-garde comedy and performance duo The Kipper Kids.
  • E. Ron Newman
    Ron Newman was an English-American soccer coach renowned for his pioneering success in U.S. professional soccer, particularly in the NASL and indoor leagues.
  • 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: Scott Newman
Triple: [Paul Newman, parentOf, Scott Newman]
Generated description
Scott Newman was an American actor and the son of legendary film star Paul Newman, whose promising career was cut short by his early death.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Scott Newman
Target entity description: Scott Newman was an American actor and the son of legendary film star Paul Newman, whose promising career was cut short by his early death.
  • A. Chris Newman
    Chris Newman is an Internet standards engineer and author known for his contributions to email and messaging protocols within the IETF.
  • B. Joe Newman
    Joe Newman was an American jazz trumpeter best known for his work with big bands, particularly the Count Basie Orchestra.
  • C. Bobby Newmyer
    Bobby Newmyer was an American film producer known for backing gritty, character-driven movies in Hollywood, including the crime thriller "Training Day."
  • D. Brian Routh
    Brian Routh was a British performance artist and musician best known as one half of the avant-garde comedy and performance duo The Kipper Kids.
  • E. Ron Newman
    Ron Newman was an English-American soccer coach renowned for his pioneering success in U.S. professional soccer, particularly in the NASL and indoor leagues.
  • 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_69ca82b886d88190a9cba0d5a4a27521 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42bf1cb0819099dda4f050f8e95e completed March 31, 2026, 3:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc642095a08190bcf90e6470e127cc completed April 1, 2026, 12:17 a.m.
NEDg Description generation batch_69cc68d9de4c8190bd2b7f556a60a73b completed April 1, 2026, 12:37 a.m.
NED2 Entity disambiguation (via description) batch_69cc69bac988819085202c02fc3312da completed April 1, 2026, 12:41 a.m.
Created at: March 30, 2026, 5:31 p.m.