Triple

T1020100
Position Surface form Disambiguated ID Type / Status
Subject Minion Land E22019 entity
Predicate hasCharacter P2308 FINISHED
Object Agnes 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 | Statement: [Minion Land, hasCharacter, Agnes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agnes
Context triple: [Minion Land, hasCharacter, Agnes]
  • A. Agnes
    Agnes is a feminine given name of Greek origin meaning "pure" or "chaste," historically popular in various European cultures and Christian traditions.
  • B. 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.
  • C. Agnes Jemima
    Agnes Jemima is one of the central narrators in Margaret Atwood’s dystopian novel *The Testaments*, offering an insider perspective on the theocratic regime of Gilead.
  • D. Agnes Carpenter
    Agnes Carpenter was the wife of American film director and screenwriter Samuel Fuller.
  • E. Margaret
    Margaret is a feminine given name of Greek origin, traditionally associated with the meaning "pearl" and widely used in English-speaking countries.
  • 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_69a493d6e380819097b384986ffc315c completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7dbcf7c8190858b2d16a27bd2ff completed March 1, 2026, 10:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bb423fc8190af65e94f8e2e75d0 completed March 7, 2026, 2:52 p.m.
Created at: March 1, 2026, 7:41 p.m.