Triple

T12576541
Position Surface form Disambiguated ID Type / Status
Subject Sonia H. Greene E300220 entity
Predicate alsoKnownAs P39 FINISHED
Object Sonia Haft Greene E300220 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: Sonia Haft Greene | Statement: [Sonia H. Greene, alsoKnownAs, Sonia Haft Greene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sonia Haft Greene
Context triple: [Sonia H. Greene, alsoKnownAs, Sonia Haft Greene]
  • A. Sonia H. Greene chosen
    Sonia H. Greene was a Ukrainian-born American writer, amateur publisher, and businesswoman best known for her association and brief marriage to horror author H. P. Lovecraft.
  • B. Arline Greenbaum
    Arline Greenbaum was the first wife of physicist Richard Feynman, remembered for their deeply devoted relationship during her struggle with tuberculosis in the 1940s.
  • C. Dinah Morris
    Dinah Morris is a devout Methodist preacher and one of the central moral figures in George Eliot’s novel "Adam Bede."
  • D. Sally Greenberg
    Sally Greenberg is a consumer rights advocate and attorney who serves as a leading executive of the National Consumers League, focusing on protecting and promoting consumer interests.
  • E. Mona Greenberg
    Mona Greenberg was the longtime wife of acclaimed American actor Karl Malden.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954a73c148190bba8f16b1232fd46 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af43f2188190b0e78f22dc6ba3f8 completed May 3, 2026, 2:13 a.m.
Created at: April 9, 2026, 4:47 p.m.