Triple

T527425
Position Surface form Disambiguated ID Type / Status
Subject Fox News Channel E10949 entity
Predicate hasSpinOff P7226 FINISHED
Object Fox Business Network E11770 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: Fox Business Network | Statement: [Fox News Channel, hasSpinOff, Fox Business Network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fox Business Network
Context triple: [Fox News Channel, hasSpinOff, Fox Business Network]
  • A. Fox Business Network chosen
    Fox Business Network is an American cable television channel focused on business and financial news, operated by Fox News Media.
  • B. Fox News Channel
    Fox News Channel is a major American cable television news network known for its conservative-leaning commentary and wide influence on U.S. political discourse.
  • C. CNBC
    CNBC is an American business news television channel known for its real-time financial market coverage and economic analysis.
  • D. CNN
    CNN is a major American cable news television channel known for pioneering 24-hour news coverage and live reporting from global events.
  • E. Fox Corporation
    Fox Corporation is a major American media company that owns the Fox broadcast network and various television stations and cable channels.
  • 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_69a2e84b16c4819088d284c47c3a7968 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1d2851c81908129f7da932ab7b3 completed Feb. 28, 2026, 1:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4c02df1fc8190bdb1410bd020af62 completed March 1, 2026, 10:39 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.