Triple

T7674150
Position Surface form Disambiguated ID Type / Status
Subject CITV E173818 entity
Predicate shortName P43 FINISHED
Object CITV E173818 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: CITV | Statement: [CITV, shortName, CITV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CITV
Context triple: [CITV, shortName, CITV]
  • A. CITV chosen
    CITV is a British children's television channel and programming block operated by ITV, featuring a wide range of kids' shows and animated series.
  • B. CBBC
    CBBC is the BBC’s dedicated television channel for children, offering a wide range of entertainment, educational, and drama programming primarily aimed at viewers aged 6 to 12.
  • C. ITV4
    ITV4 is a British free-to-air television channel from the ITV network, known for broadcasting sports, classic dramas, and entertainment aimed primarily at a male audience.
  • D. CBeebies
    CBeebies is a BBC television channel in the UK dedicated to educational and entertaining programming for preschool-aged children.
  • E. Blue Peter
    Blue Peter is a long-running British children's television programme known for its educational content, creative activities, and iconic badge awards.
  • 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_69c6995703e0819081de77361b602e78 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701e1e530819086f49f63ba0b7b42 completed March 27, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8ac9818fc81908d65c03702fc1453 completed March 29, 2026, 4:37 a.m.
Created at: March 27, 2026, 4 p.m.