Triple

T11238691
Position Surface form Disambiguated ID Type / Status
Subject Willie Turnesa E266012 entity
Predicate familyName P18 FINISHED
Object Turnesa
Turnesa is the surname of a prominent American golfing family that produced several notable professional golfers in the early to mid-20th century.
E913962 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: Turnesa | Statement: [Willie Turnesa, familyName, Turnesa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Turnesa
Context triple: [Willie Turnesa, familyName, Turnesa]
  • A. Yeola
    Yeola is a town in the Nashik district of Maharashtra, India, known historically as the birthplace of the Indian freedom fighter Tatya Tope.
  • B. Dorraine
    Dorraine is an alternate given name of Vivian Liberto, best known as the first wife of country music legend Johnny Cash.
  • C. Trinetta
    Trinetta is a character from the animated television series "Who Asked You?," known for her distinctive personality and role in the show's comedic narrative.
  • D. Merrillia
    Merrillia is a small genus of flowering plants in the citrus family Rutaceae, known for its tropical tree species.
  • E. Mariental
    Mariental is a town in central Namibia that serves as an important agricultural and transport hub in the Hardap Region.
  • 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: Turnesa
Triple: [Willie Turnesa, familyName, Turnesa]
Generated description
Turnesa is the surname of a prominent American golfing family that produced several notable professional golfers in the early to mid-20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Turnesa
Target entity description: Turnesa is the surname of a prominent American golfing family that produced several notable professional golfers in the early to mid-20th century.
  • A. Yeola
    Yeola is a town in the Nashik district of Maharashtra, India, known historically as the birthplace of the Indian freedom fighter Tatya Tope.
  • B. Dorraine
    Dorraine is an alternate given name of Vivian Liberto, best known as the first wife of country music legend Johnny Cash.
  • C. Trinetta
    Trinetta is a character from the animated television series "Who Asked You?," known for her distinctive personality and role in the show's comedic narrative.
  • D. Merrillia
    Merrillia is a small genus of flowering plants in the citrus family Rutaceae, known for its tropical tree species.
  • E. Mariental
    Mariental is a town in central Namibia that serves as an important agricultural and transport hub in the Hardap Region.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e918375081908c2a7ccb50cbf331 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4cc5bcff08190830d09c9aa0187b2 completed April 19, 2026, 12:36 p.m.
NEDg Description generation batch_69e4d9e87508819080932fac06fb754d completed April 19, 2026, 1:34 p.m.
NED2 Entity disambiguation (via description) batch_69e4dda28b0081909245b65faae3533b completed April 19, 2026, 1:50 p.m.
Created at: April 8, 2026, 9:30 p.m.