Triple

T20989053
Position Surface form Disambiguated ID Type / Status
Subject Jack Taylor E516968 entity
Predicate originalNetwork P2594 FINISHED
Object RTL 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: RTL | Statement: [Jack Taylor, originalNetwork, RTL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RTL
Context triple: [Jack Taylor, originalNetwork, RTL]
  • A. RTL
    RTL is the public transit agency serving the city of Longueuil and surrounding areas in the Greater Montreal region of Quebec, Canada.
  • B. RTL chosen
    RTL is a major German commercial television channel known for broadcasting popular entertainment, drama series, and reality programming.
  • C. RTL 7
    RTL 7 is a Dutch commercial television channel known for broadcasting sports, action series, and male-oriented entertainment programming.
  • D. RL
    RL is the commonly used acronym for the U.S. Department of Energy’s Richland Operations Office, which oversees environmental cleanup and related activities at the Hanford Site in Washington State.
  • E. RL
    RL is an American R&B singer best known as a member of the group Next and for his smooth vocal contributions to late-1990s and early-2000s R&B hits.
  • 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_69e0b4ffac148190bbade9f0eceb660b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fbe5208c8190b8b843b3778589d3 completed April 21, 2026, 4:24 a.m.
Created at: April 16, 2026, 1:49 p.m.