Triple

T12332660
Position Surface form Disambiguated ID Type / Status
Subject Soul Survivor E294001 entity
Predicate producer P490 FINISHED
Object T-Mix
T-Mix is a music producer best known for his work on the debut album "Soul Survivor."
 E979713 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: T-Mix | Statement: [Soul Survivor, producer, T-Mix]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: T-Mix
Context triple: [Soul Survivor, producer, T-Mix]
  • A. The Mix
    The Mix is a UK-based digital support service offering free, confidential help and counseling for young people facing mental health, relationship, and life challenges.
  • B. MIX
    MIX is Donald Knuth’s hypothetical computer architecture used in *The Art of Computer Programming* to illustrate and analyze algorithms in a machine-level context.
  • C. Le Grand Mix
    Le Grand Mix is a renowned live music venue and cultural hub in Tourcoing, France, known for hosting diverse contemporary music performances and events.
  • D. Mixed Me!
    "Mixed Me!" is a children's picture book by Taye Diggs that celebrates a biracial child's identity, confidence, and sense of self.
  • E. In the Mix
    In the Mix is a 2005 romantic comedy-crime film starring Usher as a DJ who becomes a bodyguard entangled in a mob family's affairs.
  • 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: T-Mix
Triple: [Soul Survivor, producer, T-Mix]
Generated description
T-Mix is a music producer best known for his work on the debut album "Soul Survivor."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: T-Mix
Target entity description: T-Mix is a music producer best known for his work on the debut album "Soul Survivor."
  • A. The Mix
    The Mix is a UK-based digital support service offering free, confidential help and counseling for young people facing mental health, relationship, and life challenges.
  • B. MIX
    MIX is Donald Knuth’s hypothetical computer architecture used in *The Art of Computer Programming* to illustrate and analyze algorithms in a machine-level context.
  • C. Le Grand Mix
    Le Grand Mix is a renowned live music venue and cultural hub in Tourcoing, France, known for hosting diverse contemporary music performances and events.
  • D. Mixed Me!
    "Mixed Me!" is a children's picture book by Taye Diggs that celebrates a biracial child's identity, confidence, and sense of self.
  • E. In the Mix
    In the Mix is a 2005 romantic comedy-crime film starring Usher as a DJ who becomes a bodyguard entangled in a mob family's affairs.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f64ad20819080d99e57833b4b51 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62aa12f108190851c6958eb35ee5b completed May 2, 2026, 4:47 p.m.
NEDg Description generation batch_69f62be420308190bcb00d8b37b09ea2 completed May 2, 2026, 4:52 p.m.
NED2 Entity disambiguation (via description) batch_69f63050f5d48190881688d12c4c1819 completed May 2, 2026, 5:11 p.m.
Created at: April 8, 2026, 9:53 p.m.