Triple

T12512839
Position Surface form Disambiguated ID Type / Status
Subject Venetta Fields E299123 entity
Predicate givenName P17 FINISHED
Object Venetta
Venetta is a feminine given name most notably borne by American session singer Venetta Fields, known for her extensive work with prominent rock and soul artists.
 E987894 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: Venetta | Statement: [Venetta Fields, givenName, Venetta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Venetta
Context triple: [Venetta Fields, givenName, Venetta]
  • A. Sarina
    Sarina is a Dutch football manager and former player best known for coaching top international women’s national teams, including the Netherlands and England.
  • B. Sarina
    Sarina is a small coastal town and sugar-growing community in Queensland, Australia, located south of Mackay.
  • C. Verna
    Verna is a feminine given name that gained particular recognition through film editor Verna Fields, known for her work on movies like "Jaws."
  • D. Norene
    Norene is a small unincorporated rural community located in Wilson County, Tennessee.
  • E. Bevin
    Bevin is a surname most notably associated with Ernest Bevin, a prominent British Labour politician and post–World War II Foreign Secretary.
  • 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: Venetta
Triple: [Venetta Fields, givenName, Venetta]
Generated description
Venetta is a feminine given name most notably borne by American session singer Venetta Fields, known for her extensive work with prominent rock and soul artists.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Venetta
Target entity description: Venetta is a feminine given name most notably borne by American session singer Venetta Fields, known for her extensive work with prominent rock and soul artists.
  • A. Sarina
    Sarina is a Dutch football manager and former player best known for coaching top international women’s national teams, including the Netherlands and England.
  • B. Sarina
    Sarina is a small coastal town and sugar-growing community in Queensland, Australia, located south of Mackay.
  • C. Verna
    Verna is a feminine given name that gained particular recognition through film editor Verna Fields, known for her work on movies like "Jaws."
  • D. Norene
    Norene is a small unincorporated rural community located in Wilson County, Tennessee.
  • E. Bevin
    Bevin is a surname most notably associated with Ernest Bevin, a prominent British Labour politician and post–World War II Foreign Secretary.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9541e752c8190bf12d2b5a37b53df completed April 10, 2026, 7:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bbba5fc819082a4171a5a77183a completed May 2, 2026, 7:08 p.m.
NEDg Description generation batch_69f64d15a97c81909046190f0d0fd986 completed May 2, 2026, 7:14 p.m.
NED2 Entity disambiguation (via description) batch_69f64e6d311c8190b851b89e394165d0 completed May 2, 2026, 7:20 p.m.
Created at: April 8, 2026, 9:57 p.m.