Triple

T13912234
Position Surface form Disambiguated ID Type / Status
Subject Pat Suzuki E334525 entity
Predicate hasChild P369 FINISHED
Object David Shaw
David Shaw is the son of American singer and actress Pat Suzuki.
 E1067265 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: David Shaw | Statement: [Pat Suzuki, hasChild, David Shaw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: David Shaw
Context triple: [Pat Suzuki, hasChild, David Shaw]
  • A. David Shaw
    David Shaw is an American football coach best known for his successful tenure as head coach of Stanford University's football program in the 2010s.
  • B. David Shaw
    David Shaw was an American screenwriter known for his work in mid-20th-century film and television.
  • C. John Bloom
    John Bloom is a film editor best known for his Academy Award-winning work on movies such as "Gandhi" and his editing contributions to notable films including "Charlie Wilson's War."
  • D. David Harrington
    David Harrington is a central character in Tyler Perry's drama series "The Haves and the Have Nots," known as a wealthy, politically connected attorney whose personal and professional conflicts drive much of the show's intrigue.
  • E. Jesse Cook
    Jesse Cook is a Canadian guitarist and composer renowned for his virtuosic nuevo flamenco style and genre-blending world music performances.
  • 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: David Shaw
Triple: [Pat Suzuki, hasChild, David Shaw]
Generated description
David Shaw is the son of American singer and actress Pat Suzuki.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: David Shaw
Target entity description: David Shaw is the son of American singer and actress Pat Suzuki.
  • A. David Shaw
    David Shaw is an American football coach best known for his successful tenure as head coach of Stanford University's football program in the 2010s.
  • B. David Shaw
    David Shaw was an American screenwriter known for his work in mid-20th-century film and television.
  • C. John Bloom
    John Bloom is a film editor best known for his Academy Award-winning work on movies such as "Gandhi" and his editing contributions to notable films including "Charlie Wilson's War."
  • D. David Harrington
    David Harrington is a central character in Tyler Perry's drama series "The Haves and the Have Nots," known as a wealthy, politically connected attorney whose personal and professional conflicts drive much of the show's intrigue.
  • E. Jesse Cook
    Jesse Cook is a Canadian guitarist and composer renowned for his virtuosic nuevo flamenco style and genre-blending world music performances.
  • 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_69d81c5eaa9c819083b1ff8689179565 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2723461881908376b5509ee0d530 completed April 14, 2026, 11:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c72879e48190ac01d0a2023b098c completed May 3, 2026, 10:07 p.m.
NEDg Description generation batch_69f7c7b9e4888190822501d439df142a completed May 3, 2026, 10:10 p.m.
NED2 Entity disambiguation (via description) batch_69f7c83e31d4819094209406fc99456a completed May 3, 2026, 10:12 p.m.
Created at: April 9, 2026, 10:16 p.m.