Triple

T14283132
Position Surface form Disambiguated ID Type / Status
Subject People’s Front of Judea E354100 entity
Predicate hasMemberCharacter P7638 FINISHED
Object Brian Cohen E418760 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: Brian Cohen | Statement: [People’s Front of Judea, hasMemberCharacter, Brian Cohen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brian Cohen
Context triple: [People’s Front of Judea, hasMemberCharacter, Brian Cohen]
  • A. Brian Cohen chosen
    Brian Cohen is the hapless, mistaken-for-the-Messiah protagonist of Monty Python’s satirical film "Life of Brian."
  • B. Brad Cohen
    Brad Cohen is an American physician and politician who serves as the mayor of East Brunswick, New Jersey.
  • C. Allen Cohen
    Allen Cohen was a counterculture activist and poet best known for helping organize the landmark 1967 Human Be-In in San Francisco’s Golden Gate Park.
  • D. Bruce Cohen
    Bruce Cohen is an American film and television producer best known for his work on acclaimed films such as "American Beauty" and "Silver Linings Playbook."
  • E. Andrew Cohen
    Andrew Cohen is an entrepreneur best known as a founder of the wireless technology company Qualcomm.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de697d9fd08190b0cd7a6a6737ba03 completed April 14, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d1a6d8081908e857143c0c809c0 completed May 8, 2026, 1:32 a.m.
Created at: April 10, 2026, 1:10 a.m.