Triple

T11339985
Position Surface form Disambiguated ID Type / Status
Subject Training Wheels E268569 entity
Predicate featuresCharacter P626 FINISHED
Object Agnes Gru E118638 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: Agnes Gru | Statement: [Training Wheels, featuresCharacter, Agnes Gru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agnes Gru
Context triple: [Training Wheels, featuresCharacter, Agnes Gru]
  • A. Agnes chosen
    Agnes is the sweet, unicorn-obsessed youngest daughter of Gru in the Despicable Me franchise, known for her innocence, enthusiasm, and iconic “It’s so fluffy!” line.
  • B. Agnes
    Agnes is a feminine given name of Greek origin meaning "pure" or "chaste," historically popular in various European cultures and Christian traditions.
  • C. Agnes
    Agnes is a character from Matthew Gregory Lewis's Gothic novel "The Monk," known for her tragic storyline involving forbidden love and persecution.
  • D. Agnes
    Agnes is a young nun at the center of a psychological and spiritual mystery surrounding a newborn's death in the play and film "Agnes of God."
  • E. Agnes
    Agnes is the devout young heroine of Harriet Beecher Stowe’s novel "Agnes of Sorrento," set in Renaissance Italy.
  • 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_69e6e72931208190b91ef4be770c00d4 completed April 21, 2026, 2:55 a.m.
Created at: April 8, 2026, 9:33 p.m.