Triple

T5253295
Position Surface form Disambiguated ID Type / Status
Subject Agnes E118638 entity
Predicate fullName P16 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: [Agnes, fullName, Agnes Gru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agnes Gru
Context triple: [Agnes, fullName, 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 character from Matthew Gregory Lewis's Gothic novel "The Monk," known for her tragic storyline involving forbidden love and persecution.
  • C. Agnes
    Agnes is a feminine given name of Greek origin meaning "pure" or "chaste," historically popular in various European cultures and Christian traditions.
  • D. Agnes
    Agnes is the devout young heroine of Harriet Beecher Stowe’s novel "Agnes of Sorrento," set in Renaissance Italy.
  • E. Agnes
    Agnes is the central, emotionally fragile yet controlling matriarch in Edward Albee’s play "A Delicate Balance," around whom the family’s tensions and existential anxieties revolve.
  • 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_69befe72c91c8190ab0f988dca420399 completed March 21, 2026, 8:24 p.m.
Created at: March 20, 2026, 1:50 p.m.