Triple

T6571362
Position Surface form Disambiguated ID Type / Status
Subject Mr. Alonzo Smith E155445 entity
Predicate child P120 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: [Mr. Alonzo Smith, child, Tootie Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tootie Smith
Context triple: [Mr. Alonzo Smith, child, 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. 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."
  • C. Antoinette Pettyjohn
    Antoinette Pettyjohn is best known as the wife of the late American actor Yaphet Kotto.
  • D. Cheryl Howard
    Cheryl Howard is an American writer and actress best known as the wife of filmmaker Ron Howard and the mother of actress Bryce Dallas Howard.
  • E. Madeline Bassett
    Madeline Bassett is a dreamy, sentimental young woman in P. G. Wodehouse’s Jeeves and Wooster stories, often entangled in unwanted romantic misunderstandings with Bertie Wooster.
  • 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_69c688151254819080387f87deab8fa7 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae58b8948190bae11ec3a140aa6f completed March 27, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb964fe48190a28fc50426d7c5d4 completed March 27, 2026, 6:25 p.m.
Created at: March 27, 2026, 1:53 p.m.