Triple

T9753020
Position Surface form Disambiguated ID Type / Status
Subject Boo E236486 entity
Predicate voicedBy P2181 FINISHED
Object Mary Gibbs E425377 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: Mary Gibbs | Statement: [Boo, voicedBy, Mary Gibbs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Gibbs
Context triple: [Boo, voicedBy, Mary Gibbs]
  • A. Mary Gibbs chosen
    Mary Gibbs is an American former child voice actress best known for providing the voice of the young girl Boo in Pixar's animated film "Monsters, Inc."
  • B. Mary Gibbs Jones
    Mary Gibbs Jones was an American philanthropist and civic leader best known for her charitable work in Houston and her role in establishing the Houston Endowment with her husband, Jesse H. Jones.
  • C. Margaret Gibson
    Margaret Gibson was the wife of American actor Noah Beery, associated with the early Hollywood film era.
  • D. Mary Robbins
    Mary Robbins is known as the mother of American actor and filmmaker Tim Robbins.
  • E. Mary Easty
    Mary Easty was a respected Salem, Massachusetts woman who was falsely accused of witchcraft and executed during the 1692 Salem witch trials, later remembered for her dignified plea for justice.
  • 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_69ca84d4eddc8190996fec1417d2bae8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9fae332c8190b11f0258b5a5ae2b completed April 1, 2026, 10:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90d3dfbac819087d07c35a1776064 completed April 10, 2026, 2:46 p.m.
Created at: March 30, 2026, 8:24 p.m.