Triple

T9871784
Position Surface form Disambiguated ID Type / Status
Subject Lee Eastman E239972 entity
Predicate workedWith P398 FINISHED
Object John Eastman E825888 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: John Eastman | Statement: [Lee Eastman, workedWith, John Eastman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Eastman
Context triple: [Lee Eastman, workedWith, John Eastman]
  • A. John Eastman chosen
    John Eastman is an American lawyer and academic known for his conservative legal advocacy and controversial role in efforts to challenge the results of the 2020 U.S. presidential election.
  • B. Taylor Greene
    Taylor Greene is one of the children of U.S. Representative Marjorie Taylor Greene.
  • C. Gregory C. Johnson
    Gregory C. Johnson is a NASA astronaut and former U.S. Navy test pilot who served as the pilot of the Space Shuttle Atlantis on the final Hubble Space Telescope servicing mission, STS-125.
  • D. Christian Thiel
    Christian Thiel is a German philosopher and logician known for his work in the philosophy of language, logic, and the history of analytic philosophy.
  • E. Kevin Dobson
    Kevin Dobson was an American actor best known for his television roles in series such as Kojak and Knots Landing.
  • 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_69ca84e7506c819095cbde4ff16512bb completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3f5cc948190b03186b867c92229 completed April 2, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eae2189c81909629e4bd46097051 completed April 5, 2026, 4:53 a.m.
Created at: March 30, 2026, 8:36 p.m.