Triple

T9919824
Position Surface form Disambiguated ID Type / Status
Subject Bill Peet E185963 entity
Predicate spouse P13 FINISHED
Object Margaret Brunst Peet
Margaret Brunst Peet was the wife of American children's book author and Disney story artist Bill Peet.
 E837870 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: Margaret Brunst Peet | Statement: [Bill Peet, spouse, Margaret Brunst Peet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Margaret Brunst Peet
Context triple: [Bill Peet, spouse, Margaret Brunst Peet]
  • A. Muriel McClure
    Muriel McClure was the wife of Nobel Prize–winning geneticist George W. Beadle.
  • B. Edith Snodgrass
    Edith Snodgrass is a notable individual distinguished enough to be recognized as a prominent bearer of the Snodgrass surname.
  • C. Muriel Whiting
    Muriel Whiting was the wife of British Royal Air Force commander Hugh Dowding, 1st Baron Dowding, noted for his leadership during the Battle of Britain.
  • D. Bess Lomax Hawes
    Bess Lomax Hawes was an American folk musician, folklorist, and educator known for her influential work in preserving and promoting traditional American folk culture.
  • E. Margaret Hutton Little
    Margaret Hutton Little is the mother of acclaimed British actress Maggie Smith.
  • 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: Margaret Brunst Peet
Triple: [Bill Peet, spouse, Margaret Brunst Peet]
Generated description
Margaret Brunst Peet was the wife of American children's book author and Disney story artist Bill Peet.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Margaret Brunst Peet
Target entity description: Margaret Brunst Peet was the wife of American children's book author and Disney story artist Bill Peet.
  • A. Muriel McClure
    Muriel McClure was the wife of Nobel Prize–winning geneticist George W. Beadle.
  • B. Edith Snodgrass
    Edith Snodgrass is a notable individual distinguished enough to be recognized as a prominent bearer of the Snodgrass surname.
  • C. Muriel Whiting
    Muriel Whiting was the wife of British Royal Air Force commander Hugh Dowding, 1st Baron Dowding, noted for his leadership during the Battle of Britain.
  • D. Bess Lomax Hawes
    Bess Lomax Hawes was an American folk musician, folklorist, and educator known for her influential work in preserving and promoting traditional American folk culture.
  • E. Margaret Hutton Little
    Margaret Hutton Little is the mother of acclaimed British actress Maggie Smith.
  • 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_69ca829b45f481909040f7b99a1976ed completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb5699bc48190961e036d1131fef0 completed April 2, 2026, 12:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d281d5f6188190a7e657b1bd9bc607 completed April 5, 2026, 3:37 p.m.
NEDg Description generation batch_69d2860be32081909eec066c19552ba5 completed April 5, 2026, 3:55 p.m.
NED2 Entity disambiguation (via description) batch_69d2865c11c881909b6791bd2bf503c4 completed April 5, 2026, 3:57 p.m.
Created at: March 30, 2026, 8:42 p.m.