Triple

T9724958
Position Surface form Disambiguated ID Type / Status
Subject Esther Smith E235584 entity
Predicate hasSibling P363 FINISHED
Object Tootie Smith E133955 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: Tootie Smith | Statement: [Esther Smith, hasSibling, Tootie Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tootie Smith
Context triple: [Esther Smith, hasSibling, Tootie Smith]
  • A. Tootie Smith chosen
    Tootie Smith is a mischievous and imaginative young girl who is one of the central members of the Smith family in the classic musical film "Meet Me in St. Louis."
  • B. Leona Rhule
    Leona Rhule is the daughter of American football coach Matt Rhule.
  • C. Valarie Pettiford
    Valarie Pettiford is an American actress, singer, and dancer known for her work on stage, television, and film, including roles in productions such as the musical "Fosse" and the TV series "Half & Half."
  • D. Antoinette Pettyjohn
    Antoinette Pettyjohn is best known as the wife of the late American actor Yaphet Kotto.
  • E. Tawny Newsome
    Tawny Newsome is an American actress, comedian, and musician best known for her comedic roles and voice work, including starring in the animated series Star Trek: Lower Decks.
  • 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_69ca84d0fad481909cdd45aa77416c48 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e7838448190a7b5b259765a0d95 completed April 1, 2026, 10:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1afb089e48190a14ed0c0f81872c7 completed April 5, 2026, 12:41 a.m.
Created at: March 30, 2026, 8:21 p.m.