Triple

T23281867
Position Surface form Disambiguated ID Type / Status
Subject Frank Batten E588885 entity
Predicate notableWork P4 FINISHED
Object The Weather Channel 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: The Weather Channel | Statement: [Frank Batten, notableWork, The Weather Channel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Weather Channel
Context triple: [Frank Batten, notableWork, The Weather Channel]
  • A. The Weather Channel chosen
    The Weather Channel is a U.S.-based cable and satellite television network and digital media service that provides around-the-clock weather forecasts, news, and storm coverage.
  • B. Weather Channel
    Weather Channel is a U.S.-based television network and media brand that provides weather forecasts, news, and related programming.
  • C. Fox Weather
    Fox Weather is a U.S.-based weather-focused streaming and digital service providing forecasts, radar, and meteorological coverage under the Fox media brand.
  • D. The Weather Channel en Español
    The Weather Channel en Español is a Spanish-language television network providing weather forecasts, news, and related programming tailored to Spanish-speaking audiences.
  • E. CNN Weather
    CNN Weather is CNN’s dedicated weather news service providing forecasts, severe weather coverage, and climate-related reporting across the network’s platforms.
  • 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_69e25d16e2c08190a291de254703129e completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19643b8908190a2c29552b272dc61 completed April 29, 2026, 5:25 a.m.
Created at: April 17, 2026, 4:57 p.m.