Triple

T31502992
Position Surface form Disambiguated ID Type / Status
Subject Drop the Dead Donkey E803736 entity
Predicate originalChannel4Strand P94196 FINISHED
Object Channel 4 comedy LITERAL 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: Channel 4 comedy | Statement: [Drop the Dead Donkey, originalChannel4Strand, Channel 4 comedy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: originalChannel4Strand
Context triple: [Drop the Dead Donkey, originalChannel4Strand, Channel 4 comedy]
  • A. originalChannelStrand chosen
    Indicates that one entity is the original strand or source channel from which another channel or strand is derived or referenced.
  • B. originalChannel
    Indicates the communication channel or medium through which something was first created, sent, or published.
  • C. originalChannelCanada
    Indicates that a television program, series, or media content was originally broadcast or first aired on a Canadian TV channel.
  • D. formerChannelNumber
    Indicates that an entity was previously assigned or used a particular channel number before a change to its current channel designation.
  • E. originalChannelBlock
    Indicates that one channel or source is the initial or primary origin from which another channel, block, or content segment is derived or constructed.
  • F. None of above.

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_69f348cae52081909fa8e5f697523ae3 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_6a00ccadb6908190ab810a7c05315fa8 completed May 10, 2026, 6:21 p.m.
PD Predicate disambiguation batch_6a00cc0f86b88190a0d2c43618558f86 completed May 10, 2026, 6:18 p.m.
Created at: April 30, 2026, 9:45 p.m.