Triple

T4177731
Position Surface form Disambiguated ID Type / Status
Subject Conservation International E86516 entity
Predicate hasKeyPerson P256 FINISHED
Object Peter Seligmann E434492 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: Peter Seligmann | Statement: [Conservation International, hasKeyPerson, Peter Seligmann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Seligmann
Context triple: [Conservation International, hasKeyPerson, Peter Seligmann]
  • A. Peter Seligmann chosen
    Peter Seligmann is an American environmentalist and business leader best known for co-founding and leading the global conservation organization Conservation International.
  • B. David Rappaport
    David Rappaport was a British actor best known for his roles in fantasy and science-fiction films and television series during the late 20th century.
  • C. Morris Meyerson
    Morris Meyerson was the husband of Israeli Prime Minister Golda Meir and a figure associated with the early Zionist movement and pre-state Israel.
  • D. Robert Schwartzman
    Robert Schwartzman is an American musician and filmmaker best known as the lead singer of the band Rooney and for his work as a director and actor.
  • E. Joel Goldsmith
    Joel Goldsmith was an American composer best known for his work on film and television scores, including the Stargate franchise.
  • 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_69aed93de98c8190ad838ce507b77c8a completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02ec20fc8190b6f30576337e0ddc completed March 9, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5f5ad18e881909950d8f45912fad5 completed March 14, 2026, 11:56 p.m.
Created at: March 9, 2026, 3:45 p.m.