Triple

T9771682
Position Surface form Disambiguated ID Type / Status
Subject Loutelious Holmes Jr. E237139 entity
Predicate employer P7 FINISHED
Object CNN E10223 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: CNN | Statement: [Loutelious Holmes Jr., employer, CNN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CNN
Context triple: [Loutelious Holmes Jr., employer, CNN]
  • A. CNN chosen
    CNN is a major American cable news television channel known for pioneering 24-hour news coverage and live reporting from global events.
  • B. NBC News Now
    NBC News Now is a free, ad-supported streaming news channel from NBC News that provides live, rolling coverage and original news programming across digital platforms.
  • C. NBC News
    NBC News is a major American television news division known for producing national and international news programs across broadcast and digital platforms.
  • D. CNN2
    CNN2 was the original name of HLN, a U.S. cable news channel that focused on headline news and brief, continuously updated reports.
  • E. ESPN News
    ESPN News is a 24-hour American sports news television channel providing continuous coverage, highlights, and analysis of major sporting events.
  • 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_69ca84d831b8819090322686b47887ce completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda0f329148190a5e531478bc18073 completed April 1, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bd12261c819085e502e8321c3200 completed April 5, 2026, 1:38 a.m.
Created at: March 30, 2026, 8:26 p.m.