Triple

T11339987
Position Surface form Disambiguated ID Type / Status
Subject Training Wheels E268569 entity
Predicate featuresCharacter P626 FINISHED
Object Edith Gru E269525 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: Edith Gru | Statement: [Training Wheels, featuresCharacter, Edith Gru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edith Gru
Context triple: [Training Wheels, featuresCharacter, Edith Gru]
  • A. Edith Gru chosen
    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.
  • B. Margo Gru
    Margo Gru is the responsible and intelligent eldest adopted daughter of Gru in the animated Despicable Me film series.
  • 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. Helga
    Helga is a feminine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
  • E. Wendy Darling
    Wendy Darling is a central character in J. M. Barrie’s Peter Pan stories, known as the imaginative, nurturing girl who travels to Neverland and becomes a motherly figure to the Lost Boys.
  • 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_69e5b7d91168819096823e59a63ec24d completed April 20, 2026, 5:21 a.m.
Created at: April 8, 2026, 9:33 p.m.