Triple

T14329703
Position Surface form Disambiguated ID Type / Status
Subject Cuckoo E355312 entity
Predicate productionCompany P490 FINISHED
Object Roughcut Television
Roughcut Television is a British independent production company known for creating popular comedy series for television.
E1093817 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: Roughcut Television | Statement: [Cuckoo, productionCompany, Roughcut Television]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roughcut Television
Context triple: [Cuckoo, productionCompany, Roughcut Television]
  • A. Rubicon TV
    Rubicon TV is a Norwegian television production company known for creating scripted series such as the crime-comedy drama "Lilyhammer."
  • B. Premiere Networks
    Premiere Networks is a major U.S. radio syndication company that distributes popular nationally broadcast shows across numerous affiliate stations.
  • C. Maverick Television
    Maverick Television is a British television production company known for creating popular factual and entertainment programming.
  • D. Cutter Productions
    Cutter Productions is a film and television production company known for employing acclaimed editor Dede Allen.
  • E. Rough Draft Studios
    Rough Draft Studios is an animation production company best known for its work on series like Futurama and other prominent television and film projects.
  • 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: Roughcut Television
Triple: [Cuckoo, productionCompany, Roughcut Television]
Generated description
Roughcut Television is a British independent production company known for creating popular comedy series for television.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Roughcut Television
Target entity description: Roughcut Television is a British independent production company known for creating popular comedy series for television.
  • A. Rubicon TV
    Rubicon TV is a Norwegian television production company known for creating scripted series such as the crime-comedy drama "Lilyhammer."
  • B. Premiere Networks
    Premiere Networks is a major U.S. radio syndication company that distributes popular nationally broadcast shows across numerous affiliate stations.
  • C. Maverick Television
    Maverick Television is a British television production company known for creating popular factual and entertainment programming.
  • D. Cutter Productions
    Cutter Productions is a film and television production company known for employing acclaimed editor Dede Allen.
  • E. Rough Draft Studios
    Rough Draft Studios is an animation production company best known for its work on series like Futurama and other prominent television and film projects.
  • 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_69d8278fa2108190bc0d0e7939c1eb03 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8c1def0081908f03cda8e84d20c0 completed April 14, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd46943dac819092f5935d9d312949 completed May 8, 2026, 2:12 a.m.
NEDg Description generation batch_69fd4811e2808190b559d8348079ae8f completed May 8, 2026, 2:18 a.m.
NED2 Entity disambiguation (via description) batch_69fd48d827488190b4a494d4da64ba51 completed May 8, 2026, 2:22 a.m.
Created at: April 10, 2026, 1:13 a.m.