Triple

T20194998
Position Surface form Disambiguated ID Type / Status
Subject Charles Okun E493059 entity
Predicate name P16 FINISHED
Object Charles Okun 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: Charles Okun | Statement: [Charles Okun, name, Charles Okun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charles Okun
Context triple: [Charles Okun, name, Charles Okun]
  • A. Charles Okun chosen
    Charles Okun was an American film producer and assistant director known for his work on popular Hollywood movies such as "French Kiss" and "Throw Momma from the Train."
  • B. Milton Okun
    Milton Okun was an influential American record producer, arranger, and music publisher best known for his work with folk and pop artists such as Peter, Paul and Mary and John Denver.
  • C. Arthur Okun
    Arthur Okun was an American economist best known for formulating Okun's law, which quantifies the relationship between unemployment and economic growth.
  • D. Morris Okun
    Morris Okun is an American social psychologist known for his research on aging, volunteerism, and the factors that influence well-being in older adults.
  • E. Amos Okun
    Amos Okun is an individual notable enough to be recognized as a namesake or distinguished bearer of the surname Okun.
  • 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66ad7ed548190a893110fa2ffb144 completed April 20, 2026, 6:05 p.m.
Created at: April 11, 2026, 11:37 p.m.