Triple

T17861166
Position Surface form Disambiguated ID Type / Status
Subject Sergio Oliva E446073 entity
Predicate hasSpouse P13 FINISHED
Object Arlene Oliva
Arlene Oliva is best known as the wife of legendary Cuban bodybuilder and three-time Mr. Olympia champion Sergio Oliva.
 E1300924 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: Arlene Oliva | Statement: [Sergio Oliva, hasSpouse, Arlene Oliva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arlene Oliva
Context triple: [Sergio Oliva, hasSpouse, Arlene Oliva]
  • A. Arlene Miles
    Arlene Miles was the first wife of American jazz singer and songwriter Mel Tormé.
  • B. Arlene DelValle
    Arlene DelValle is a film and television producer known for her work on the project "My Life."
  • C. Arlene Vrhel
    Arlene Vrhel is an American restaurateur best known as the longtime wife of actor Joe Mantegna.
  • D. Edie Martin
    Edie Martin was a British character actress known for her frequent appearances as elderly women in mid-20th-century British films and comedies.
  • E. Brenda Patimkin
    Brenda Patimkin is a central character in Philip Roth's novella "Goodbye, Columbus," portrayed as a young, affluent Jewish woman whose relationship with the protagonist exposes tensions of class, identity, and assimilation in mid-20th-century American suburbia.
  • 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: Arlene Oliva
Triple: [Sergio Oliva, hasSpouse, Arlene Oliva]
Generated description
Arlene Oliva is best known as the wife of legendary Cuban bodybuilder and three-time Mr. Olympia champion Sergio Oliva.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arlene Oliva
Target entity description: Arlene Oliva is best known as the wife of legendary Cuban bodybuilder and three-time Mr. Olympia champion Sergio Oliva.
  • A. Arlene Miles
    Arlene Miles was the first wife of American jazz singer and songwriter Mel Tormé.
  • B. Arlene DelValle
    Arlene DelValle is a film and television producer known for her work on the project "My Life."
  • C. Arlene Vrhel
    Arlene Vrhel is an American restaurateur best known as the longtime wife of actor Joe Mantegna.
  • D. Edie Martin
    Edie Martin was a British character actress known for her frequent appearances as elderly women in mid-20th-century British films and comedies.
  • E. Brenda Patimkin
    Brenda Patimkin is a central character in Philip Roth's novella "Goodbye, Columbus," portrayed as a young, affluent Jewish woman whose relationship with the protagonist exposes tensions of class, identity, and assimilation in mid-20th-century American suburbia.
  • 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_69d8b9f26f18819089c9e43250bee6ae completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4979013dc8190beb7718f0ba92bc3 completed April 19, 2026, 8:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a03430e31d88190ae7c8c793f5195b3 completed May 12, 2026, 3:11 p.m.
NEDg Description generation batch_6a0343b583088190bbafd4ef3aad5218 completed May 12, 2026, 3:13 p.m.
NED2 Entity disambiguation (via description) batch_6a03445d9d208190b2d72012c4b4407f completed May 12, 2026, 3:16 p.m.
Created at: April 10, 2026, 10:17 a.m.