Triple

T1844719
Position Surface form Disambiguated ID Type / Status
Subject David Asimov E41257 entity
Predicate relative P37 FINISHED
Object Janet Asimov E39702 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: Janet Asimov | Statement: [David Asimov, relative, Janet Asimov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Janet Asimov
Context triple: [David Asimov, relative, Janet Asimov]
  • A. Janet Asimov chosen
    Janet Asimov was an American psychiatrist, psychoanalyst, and science fiction writer who collaborated with and was married to author Isaac Asimov.
  • B. David Asimov
    David Asimov is the son of famed science fiction author Isaac Asimov, known primarily for this familial connection.
  • C. Maye Haldeman
    Maye Haldeman is a Canadian-South African model and dietitian best known as Maye Musk, the mother of entrepreneur Elon Musk and a prominent figure in fashion and nutrition.
  • D. Gregory Benford
    Gregory Benford is an American science fiction author and astrophysicist best known for his hard science fiction novels such as "Timescape" and his contributions to the Galactic Center series.
  • E. Sandra Henderson
    Sandra Henderson is a Canadian former athlete best known for co-lighting the Olympic cauldron at the 1976 Summer Olympics in Montreal.
  • 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_69a88648cd44819093303206d96d76ad completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb04fe9d481909b5c1973d3f9b92d completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0307ffac8190a9d335a975e88e9e completed March 8, 2026, 11:15 p.m.
Created at: March 4, 2026, 7:33 p.m.