Triple

T9675400
Position Surface form Disambiguated ID Type / Status
Subject Stand Up To Cancer UK campaign (with Channel 4) E234133 entity
Predicate broadcastOn P833 FINISHED
Object E4 E342493 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: E4 | Statement: [Stand Up To Cancer UK campaign (with Channel 4), broadcastOn, E4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: E4
Context triple: [Stand Up To Cancer UK campaign (with Channel 4), broadcastOn, E4]
  • A. E4 chosen
    E4 is a British digital television channel from Channel 4, known for airing popular entertainment, comedy, and drama series aimed primarily at younger audiences.
  • B. E4
    E4 is a major European route and highway running through Sweden, forming a key north–south transport corridor.
  • C. E.
    E. King Gill was an American football player best known as the original "12th Man" of Texas A&M University, symbolizing the school's enduring tradition of fan support.
  • D. E5
    E5 is the IATA airline designator assigned to Air Arabia Egypt, a low-cost carrier based in Egypt.
  • E. E1
    E1 is a central London postcode district covering parts of areas such as Whitechapel, Stepney, and Spitalfields in the East End.
  • 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_69ca848f55e48190b3f67252571c3d45 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9c6ed62081908863f2ea0e98961a completed April 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18a30883081909e8f70225b6ee820 completed April 4, 2026, 10:01 p.m.
Created at: March 30, 2026, 8:15 p.m.