Triple

T2173068
Position Surface form Disambiguated ID Type / Status
Subject MASH E48466 entity
Predicate editor P1954 FINISHED
Object Danford B. Greene E330713 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: Danford B. Greene | Statement: [MASH, editor, Danford B. Greene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danford B. Greene
Context triple: [MASH, editor, Danford B. Greene]
  • A. George A. Bermann
    George A. Bermann is a prominent American legal scholar and expert in international and comparative law, particularly known for his work in international arbitration.
  • B. Gerald B. Greenberg chosen
    Gerald B. Greenberg is an American film editor best known for his Academy Award–winning work on the 1979 drama "Kramer vs. Kramer."
  • C. Alan M. Garber
    Alan M. Garber is an American physician-economist and academic leader known for his work in health policy and for serving in top administrative roles at Harvard University.
  • D. Robert N. Fitch
    Robert N. Fitch was a composer best known for writing the University of California fight song "Fight for California."
  • E. Franklin H. Martin
    Franklin H. Martin was an American surgeon and medical leader best known for founding and guiding the development of the American College of Surgeons.
  • 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_69a88aa3faa48190995b233af6525815 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbecb97a48190834e3e536184bbd1 completed March 7, 2026, 5:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69b367dc88ac81909e73e290c745b8be completed March 13, 2026, 1:26 a.m.
Created at: March 4, 2026, 7:45 p.m.