Triple

T23262578
Position Surface form Disambiguated ID Type / Status
Subject I Never Liked You E582052 entity
Predicate producer P490 FINISHED
Object Cousin
Cousin is a music producer known for contributing to Future’s 2022 album "I Never Liked You."
 E1576447 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: Cousin | Statement: [I Never Liked You, producer, Cousin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cousin
Context triple: [I Never Liked You, producer, Cousin]
  • A. Cousins
    Cousins is a surname most notably associated with Norman Cousins, an American political journalist, author, and peace advocate.
  • B. Cousins
    Cousins is one of the short, conversational vignettes in Jim Jarmusch’s film Coffee and Cigarettes, featuring characters chatting over drinks and smokes in a minimalist, deadpan style.
  • C. Cousins
    "Cousins" is a 1989 American romantic comedy film, directed by Joel Schumacher and starring Isabella Rossellini and Ted Danson, about two married people who fall in love after suspecting their spouses of infidelity.
  • D. Cousins
    "Cousins" is a fast-paced, guitar-driven indie rock song by Vampire Weekend known for its frenetic energy and intricate riffs.
  • E. Cousins
    "Cousins" is the upbeat theme song best known for introducing the 1960s American television sitcom *The Patty Duke Show*.
  • 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: Cousin
Triple: [I Never Liked You, producer, Cousin]
Generated description
Cousin is a music producer known for contributing to Future’s 2022 album "I Never Liked You."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cousin
Target entity description: Cousin is a music producer known for contributing to Future’s 2022 album "I Never Liked You."
  • A. Cousins
    Cousins is a surname most notably associated with Norman Cousins, an American political journalist, author, and peace advocate.
  • B. Cousins
    Cousins is one of the short, conversational vignettes in Jim Jarmusch’s film Coffee and Cigarettes, featuring characters chatting over drinks and smokes in a minimalist, deadpan style.
  • C. Cousins
    "Cousins" is a 1989 American romantic comedy film, directed by Joel Schumacher and starring Isabella Rossellini and Ted Danson, about two married people who fall in love after suspecting their spouses of infidelity.
  • D. Cousins
    "Cousins" is a fast-paced, guitar-driven indie rock song by Vampire Weekend known for its frenetic energy and intricate riffs.
  • E. Cousins
    "Cousins" is the upbeat theme song best known for introducing the 1960s American television sitcom *The Patty Duke Show*.
  • 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_69e246079f58819085eaa9c260906880 completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f194caaf208190931923744692180d completed April 29, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c3f7050388190a0848037c96049c0 completed May 19, 2026, 10:46 a.m.
NEDg Description generation batch_6a0c405be1188190b6622665e448bbe7 completed May 19, 2026, 10:50 a.m.
NED2 Entity disambiguation (via description) batch_6a0c40bece448190bb9fd1a3058a1f06 completed May 19, 2026, 10:51 a.m.
Created at: April 17, 2026, 4:11 p.m.