Triple

T7830783
Position Surface form Disambiguated ID Type / Status
Subject It Only Takes a Minute E181360 entity
Predicate originalArtist P11499 FINISHED
Object Tavares
Tavares is an American R&B, soul, and funk vocal group best known for their smooth harmonies and 1970s hits.
 E79684 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: Tavares | Statement: [It Only Takes a Minute, originalArtist, Tavares]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tavares
Context triple: [It Only Takes a Minute, originalArtist, Tavares]
  • A. Tavares
    Tavares is a Portuguese surname borne by numerous notable individuals across fields such as business, sports, and the arts.
  • B. Toland
    Toland is a surname most notably associated with Gregg Toland, the pioneering American cinematographer renowned for his innovative deep-focus techniques in films like "Citizen Kane."
  • C. Warley
    Warley is a locality within the Brentwood Borough of Essex, England, known primarily as a residential suburb with historical military and institutional connections.
  • D. Conneely
    Conneely is an Irish surname, often considered a variant of Connelly, with roots in Gaelic family names.
  • E. Boustany
    Boustany is a surname of Lebanese origin notably associated with several prominent political and professional families, particularly in the United States and Lebanon.
  • 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: Tavares
Triple: [It Only Takes a Minute, originalArtist, Tavares]
Generated description
Tavares is an American R&B, soul, and funk vocal group best known for their smooth harmonies and 1970s hits.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tavares
Target entity description: Tavares is an American R&B, soul, and funk vocal group best known for their smooth harmonies and 1970s hits.
  • A. Tavares chosen
    Tavares is a Portuguese surname borne by numerous notable individuals across fields such as business, sports, and the arts.
  • B. Toland
    Toland is a surname most notably associated with Gregg Toland, the pioneering American cinematographer renowned for his innovative deep-focus techniques in films like "Citizen Kane."
  • C. Warley
    Warley is a locality within the Brentwood Borough of Essex, England, known primarily as a residential suburb with historical military and institutional connections.
  • D. Conneely
    Conneely is an Irish surname, often considered a variant of Connelly, with roots in Gaelic family names.
  • E. Boustany
    Boustany is a surname of Lebanese origin notably associated with several prominent political and professional families, particularly in the United States and Lebanon.
  • F. None of above.

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_69ca8282ccec819083c48efb72d21cf9 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb04ac013c81909533fa348776f50c completed March 30, 2026, 11:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb5a854fac8190802599615a0f7bc4 completed March 31, 2026, 5:24 a.m.
NEDg Description generation batch_69cb762ce6208190a24438e26ae83785 completed March 31, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_69cbb615dc248190b57b4fc7c430517f completed March 31, 2026, 11:55 a.m.
Created at: March 30, 2026, 4:44 p.m.