Triple

T21380653
Position Surface form Disambiguated ID Type / Status
Subject Peter Malkin E527343 entity
Predicate name P16 FINISHED
Object Peter Malkin 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: Peter Malkin | Statement: [Peter Malkin, name, Peter Malkin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Malkin
Context triple: [Peter Malkin, name, Peter Malkin]
  • A. Peter Malkin chosen
    Peter Malkin was an Israeli Mossad agent best known for leading the capture of Nazi war criminal Adolf Eichmann in Argentina in 1960.
  • B. Peter L. Malkin
    Peter L. Malkin is an American real estate developer and philanthropist known for his major contributions to educational institutions such as Harvard University.
  • C. Peter Melnick
    Peter Melnick is an American composer known for his film and television scores, including his work on the romantic comedy "L.A. Story."
  • D. Wolf Mankowitz
    Wolf Mankowitz was a British novelist, playwright, and screenwriter known for his work on films such as the 1967 James Bond spoof "Casino Royale" and for his influential postwar literary portrayals of East End London.
  • E. Peter Kalifornsky
    Peter Kalifornsky was a Dena’ina elder, writer, and linguist renowned for preserving and documenting the Dena’ina language and oral traditions of Alaska.
  • 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_69e0b51f363c8190944000ab5523b02b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b0cdab8c8190a7eebe6e5961ee75 completed April 22, 2026, 11:28 a.m.
Created at: April 16, 2026, 5:11 p.m.