Triple

T7127933
Position Surface form Disambiguated ID Type / Status
Subject Janet Lee Bouvier E166110 entity
Predicate hasRelative P367 FINISHED
Object Margaret A. Merritt E774971 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: Margaret A. Merritt | Statement: [Janet Lee Bouvier, hasRelative, Margaret A. Merritt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margaret A. Merritt
Context triple: [Janet Lee Bouvier, hasRelative, Margaret A. Merritt]
  • A. Margaret A. Merritt chosen
    Margaret A. Merritt was an American woman best known as the mother of Janet Lee Bouvier, making her the maternal grandmother of Jacqueline Kennedy Onassis.
  • B. Margaret Davenport
    Margaret Davenport is the mother of American actor Emile Hirsch.
  • C. Margaret Whitmore
    Margaret Whitmore is best known as the wife of American physician-turned-thriller novelist Robin Cook.
  • D. Margaret Cox
    Margaret Cox is known as the daughter of British physicist and science communicator Brian Cox.
  • E. Mary E. Pennington
    Mary E. Pennington was the first wife of American novelist John Updike, whom he married in 1953 and with whom he had four children before their divorce in the 1970s.
  • 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_69c6888350588190870cd552b427a1cd completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e66b230c819090ddbc5396868305 completed March 27, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69cffd37b54881908c67d5746f9ef39e completed April 3, 2026, 5:47 p.m.
Created at: March 27, 2026, 2:44 p.m.