Triple

T5253331
Position Surface form Disambiguated ID Type / Status
Subject Agnes E118638 entity
Predicate associatedWith P37 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: [Agnes, associatedWith, Edith Gru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edith Gru
Context triple: [Agnes, associatedWith, 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. Helga
    Helga is a feminine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
  • D. 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.
  • E. Helga Gumm
    Helga Gumm is a character in the "Spy Kids" film series, known as the grandmother of the Cortez children and a former spy herself.
  • 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_69bd446978108190bb5f9c5c23d93f88 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b7cd7f4819098e591df07564a52 completed March 20, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf18770e608190932d9de276e47212 completed March 21, 2026, 10:15 p.m.
Created at: March 20, 2026, 1:50 p.m.