Triple

T4031600
Position Surface form Disambiguated ID Type / Status
Subject Agnes de Mille E83724 entity
Predicate givenName P17 FINISHED
Object Agnes E88099 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: [Agnes de Mille, givenName, Agnes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agnes
Context triple: [Agnes de Mille, givenName, Agnes]
  • A. Agnes chosen
    Agnes is a feminine given name of Greek origin meaning "pure" or "chaste," historically popular in various European cultures and Christian traditions.
  • B. Agnes
    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
    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 the devout young heroine of Harriet Beecher Stowe’s novel "Agnes of Sorrento," set in Renaissance Italy.
  • E. 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.
  • 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_69aed92e29ac819080f7a98b594fec05 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb0dbb8481909ff2ee49dadcd1dc completed March 9, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5563b6d8c8190862597ea39b56de1 completed March 14, 2026, 12:36 p.m.
Created at: March 9, 2026, 3:36 p.m.