Triple

T17706101
Position Surface form Disambiguated ID Type / Status
Subject Meggie E441435 entity
Predicate isDiminutiveOf P456 FINISHED
Object Margaret NE NERFINISHED

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: Margaret | Statement: [Meggie, isDiminutiveOf, Margaret]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margaret
Context triple: [Meggie, isDiminutiveOf, Margaret]
  • A. Margaret chosen
    Margaret is a feminine given name of Greek origin, traditionally associated with the meaning "pearl" and widely used in English-speaking countries.
  • B. Margaret
    Margaret is a 2011 American drama film written and directed by Kenneth Lonergan, known for its complex portrayal of grief and moral responsibility following a tragic bus accident in New York City.
  • C. Margaret
    Margaret is a witty and flirtatious gentlewoman in Shakespeare’s comedy "Much Ado About Nothing," whose unwitting involvement in a deception helps drive the play’s central conflict.
  • D. Margaret
    Margaret is a central female character in Eugene O’Neill’s play "The Great God Brown," embodying themes of love, identity, and disillusionment.
  • E. Margaret
    Margaret is a character in the animated series "Adventure Time," known as Finn the Human's caring adoptive mother.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9ea20b48190ace88bb46b01e6a9 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47297359481909629c79220e58245 completed April 19, 2026, 6:13 a.m.
Created at: April 10, 2026, 10:05 a.m.