Triple

T11340002
Position Surface form Disambiguated ID Type / Status
Subject Training Wheels E268569 entity
Predicate hasSupportingCharacter P7748 FINISHED
Object Margo Gru E268561 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: Margo Gru | Statement: [Training Wheels, hasSupportingCharacter, Margo Gru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margo Gru
Context triple: [Training Wheels, hasSupportingCharacter, Margo Gru]
  • A. Margo Gru chosen
    Margo Gru is the responsible and intelligent eldest adopted daughter of Gru in the animated Despicable Me film series.
  • B. Edith Gru
    Edith Gru is one of Gru’s mischievous adopted daughters in the Despicable Me animated film series, recognizable by her pink hat and tomboyish, adventurous personality.
  • C. Elmyra Duff
    Elmyra Duff is an overenthusiastic, animal-obsessed girl from the animated series Tiny Toon Adventures, known for smothering pets with her misguided affection.
  • D. Mrs. Met
    Mrs. Met is the female mascot of the New York Mets baseball team, often depicted alongside Mr. Met as his wife and partner in team promotions and ballpark entertainment.
  • E. Grace Van Pelt
    Grace Van Pelt is a fictional California Bureau of Investigation agent known for her tech skills, idealism, and evolving toughness on the TV series "The Mentalist."
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea01c6c08190910a6ce8fb7e186d completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d320c39c8190a3d28aa065ededea completed April 20, 2026, 7:17 a.m.
Created at: April 8, 2026, 9:33 p.m.