Triple

T13446453
Position Surface form Disambiguated ID Type / Status
Subject Gus Witherspoon E320496 entity
Predicate guardianOf P1040 FINISHED
Object Molly Witherspoon E1050918 NE FINISHED

How this triple was built (2 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: Molly Witherspoon | Statement: [Gus Witherspoon, guardianOf, Molly Witherspoon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Molly Witherspoon
Context triple: [Gus Witherspoon, guardianOf, Molly Witherspoon]
  • A. Molly Witherspoon chosen
    Molly Witherspoon is a fictional character known as a member of the Witherspoon family connected to Gus Witherspoon in the television series "Our House."
  • B. Molly Madden
    Molly Madden is an entertainment industry professional best known as a founder of the talent management and production company 3 Arts Entertainment.
  • C. Molly Stark
    Molly Stark was the wife of American Revolutionary War General John Stark, remembered in part through his famous battle cry invoking her name at the Battle of Bennington.
  • D. Molly Blake
    Molly Blake is the daughter of Henry Blake, the fictional commanding officer from the television series M*A*S*H.
  • E. Molly Sims
    Molly Sims is an American model and actress known for her work in fashion and roles in film and television comedies.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaef5f610819092cad33ef72075ff completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78ad5c68881908264947993bc7811 completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:40 p.m.