Triple

T22479606
Position Surface form Disambiguated ID Type / Status
Subject Jonathan Karl E555727 entity
Predicate employer P7 FINISHED
Object CNN (former) 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: CNN (former) | Statement: [Jonathan Karl, employer, CNN (former)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CNN (former)
Context triple: [Jonathan Karl, employer, CNN (former)]
  • A. Cable News Network
    Cable News Network (CNN) is a major American cable and satellite television news channel known for pioneering 24-hour television news coverage worldwide.
  • B. CNN chosen
    CNN is a major American cable news television channel known for pioneering 24-hour news coverage and live reporting from global events.
  • C. NBC
    NBC is a major American broadcast television network known for its nationwide programming, including news, sports, and entertainment.
  • D. NBC
    NBC is a major westward-flowing ocean current along the northern coast of Brazil that transports warm water from the equatorial Atlantic toward the Caribbean.
  • E. NBC
    NBC is the central bank of Cambodia, responsible for issuing the national currency and overseeing the country’s monetary and financial stability.
  • 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_69e11e53897c819088863779f8c50bb0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15be653bc8190a2e5c47e38228bfe completed April 29, 2026, 1:16 a.m.
Created at: April 16, 2026, 8:49 p.m.