Triple

T21561562
Position Surface form Disambiguated ID Type / Status
Subject Don Alvarado E532047 entity
Predicate spouse P13 FINISHED
Object Ann Boyar
Ann Boyar was an American socialite best known for her marriage to Mexican-American actor Don Alvarado and her connections within early Hollywood circles.
 E1490945 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: Ann Boyar | Statement: [Don Alvarado, spouse, Ann Boyar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ann Boyar
Context triple: [Don Alvarado, spouse, Ann Boyar]
  • A. Alex Katunich
    Alex Katunich is an American bassist best known for his work with the rock band Incubus during their early and most commercially successful years.
  • B. Alex Kerkovich
    Alex Kerkovich is a quirky, fashion-conscious and often self-absorbed woman known for her comedic antics and complicated relationships in the sitcom "Happy Endings."
  • C. Nicholas Gessner
    Nicholas Gessner is a film director best known for his work on European and international co-productions, including psychological dramas and thrillers.
  • D. Alexander L. Guterma
    Alexander L. Guterma was a writer and story contributor active in early 20th-century American cinema.
  • E. Greg Peters
    Greg Peters is a media executive best known as the co-CEO of Netflix, where he oversees the company’s global streaming operations and strategy.
  • 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: Ann Boyar
Triple: [Don Alvarado, spouse, Ann Boyar]
Generated description
Ann Boyar was an American socialite best known for her marriage to Mexican-American actor Don Alvarado and her connections within early Hollywood circles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ann Boyar
Target entity description: Ann Boyar was an American socialite best known for her marriage to Mexican-American actor Don Alvarado and her connections within early Hollywood circles.
  • A. Alex Katunich
    Alex Katunich is an American bassist best known for his work with the rock band Incubus during their early and most commercially successful years.
  • B. Alex Kerkovich
    Alex Kerkovich is a quirky, fashion-conscious and often self-absorbed woman known for her comedic antics and complicated relationships in the sitcom "Happy Endings."
  • C. Nicholas Gessner
    Nicholas Gessner is a film director best known for his work on European and international co-productions, including psychological dramas and thrillers.
  • D. Alexander L. Guterma
    Alexander L. Guterma was a writer and story contributor active in early 20th-century American cinema.
  • E. Greg Peters
    Greg Peters is a media executive best known as the co-CEO of Netflix, where he oversees the company’s global streaming operations and strategy.
  • 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_69e0c460db088190828c64206a450273 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eed2e3e2348190b5c3b66cdc871e6e completed April 27, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09eeeb5c6081908267b5825acddad5 completed May 17, 2026, 4:38 p.m.
NEDg Description generation batch_6a09f3334a088190b16c3715c786f4e2 completed May 17, 2026, 4:56 p.m.
NED2 Entity disambiguation (via description) batch_6a09f40c04a48190b60c80f44759b295 completed May 17, 2026, 4:59 p.m.
Created at: April 16, 2026, 6:29 p.m.