Triple

T16842097
Position Surface form Disambiguated ID Type / Status
Subject Jon Holmes E409437 entity
Predicate notableWork P4 FINISHED
Object Listen Against
Listen Against is a satirical BBC Radio 4 comedy show that parodies and remixes the station’s own output, co-created and written by comedian Jon Holmes.
 E1237046 NE FINISHED

How this triple was built (4 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: Listen Against | Statement: [Jon Holmes, notableWork, Listen Against]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Listen Against
Context triple: [Jon Holmes, notableWork, Listen Against]
  • A. Hear It
    Hear It is a track from the album "Song of Seven" by Jon Anderson, known for its melodic, progressive rock style.
  • B. R U Listening
    R U Listening is a track featured on the album "Made in Brooklyn" by Masta Killa.
  • C. Listen Up!
    "Listen Up!" is a song by the American pop rock band The Gossip, known for their raw, dance-punk energy and Beth Ditto’s powerful vocals.
  • D. Listen to Me
    "Listen to Me" is a crime thriller novel by Tess Gerritsen featuring her popular Rizzoli & Isles characters in a tense investigation that intertwines neighborhood secrets with a complex murder case.
  • E. Listen to Me
    "Listen to Me" is a 1989 American drama film about a college debate team, notable for featuring Jason Gould among its cast.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Listen Against
Triple: [Jon Holmes, notableWork, Listen Against]
Generated description
Listen Against is a satirical BBC Radio 4 comedy show that parodies and remixes the station’s own output, co-created and written by comedian Jon Holmes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Listen Against
Target entity description: Listen Against is a satirical BBC Radio 4 comedy show that parodies and remixes the station’s own output, co-created and written by comedian Jon Holmes.
  • A. Hear It
    Hear It is a track from the album "Song of Seven" by Jon Anderson, known for its melodic, progressive rock style.
  • B. R U Listening
    R U Listening is a track featured on the album "Made in Brooklyn" by Masta Killa.
  • C. Listen Up!
    "Listen Up!" is a song by the American pop rock band The Gossip, known for their raw, dance-punk energy and Beth Ditto’s powerful vocals.
  • D. Listen to Me
    "Listen to Me" is a crime thriller novel by Tess Gerritsen featuring her popular Rizzoli & Isles characters in a tense investigation that intertwines neighborhood secrets with a complex murder case.
  • E. Listen to Me
    "Listen to Me" is a 1989 American drama film about a college debate team, notable for featuring Jason Gould among its cast.
  • F. None of above. chosen

Provenance (5 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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b35167a48190b45a459023e3ab1b completed April 18, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb199168819080a9ddc7534f19a7 completed May 10, 2026, 5:06 p.m.
NEDg Description generation batch_6a00bc22dc1c81909edc5cdb239f0ea8 completed May 10, 2026, 5:10 p.m.
NED2 Entity disambiguation (via description) batch_6a00bce879648190acbd5645cd1a4ec8 completed May 10, 2026, 5:14 p.m.
Created at: April 10, 2026, 5:24 a.m.