Triple

T6555706
Position Surface form Disambiguated ID Type / Status
Subject Tom Berenger E152440 entity
Predicate spouse P13 FINISHED
Object Patricia Alvaran
Patricia Alvaran is known as the former wife of American actor Tom Berenger.
 E655276 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: Patricia Alvaran | Statement: [Tom Berenger, spouse, Patricia Alvaran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Patricia Alvaran
Context triple: [Tom Berenger, spouse, Patricia Alvaran]
  • A. Felicia Montealegre
    Felicia Montealegre was a Chilean-Costa Rican actress and social activist best known as the wife of American composer and conductor Leonard Bernstein.
  • B. Karen Peralta
    Karen Peralta is a character in the television series "Brooklyn Nine-Nine," known as the mother of main protagonist Jake Peralta.
  • C. Nancy Colmenares
    Nancy Colmenares is best known as the first wife of former Venezuelan president Hugo Chávez, with whom she had three children.
  • D. Janeth Arcain
    Janeth Arcain is a Brazilian former professional basketball guard best known for her key role in the Houston Comets’ WNBA championship dynasty and her success with the Brazilian national team.
  • E. Yolanda Pulecio
    Yolanda Pulecio is a Colombian politician and former beauty queen best known as the mother of ex-presidential candidate and long-time FARC hostage Ingrid Betancourt.
  • 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: Patricia Alvaran
Triple: [Tom Berenger, spouse, Patricia Alvaran]
Generated description
Patricia Alvaran is known as the former wife of American actor Tom Berenger.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Patricia Alvaran
Target entity description: Patricia Alvaran is known as the former wife of American actor Tom Berenger.
  • A. Felicia Montealegre
    Felicia Montealegre was a Chilean-Costa Rican actress and social activist best known as the wife of American composer and conductor Leonard Bernstein.
  • B. Karen Peralta
    Karen Peralta is a character in the television series "Brooklyn Nine-Nine," known as the mother of main protagonist Jake Peralta.
  • C. Nancy Colmenares
    Nancy Colmenares is best known as the first wife of former Venezuelan president Hugo Chávez, with whom she had three children.
  • D. Janeth Arcain
    Janeth Arcain is a Brazilian former professional basketball guard best known for her key role in the Houston Comets’ WNBA championship dynasty and her success with the Brazilian national team.
  • E. Yolanda Pulecio
    Yolanda Pulecio is a Colombian politician and former beauty queen best known as the mother of ex-presidential candidate and long-time FARC hostage Ingrid Betancourt.
  • 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_69c688058d6881908c19b309cc55dbfa completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae1d28bc8190a2fa4b3e1e39863c completed March 27, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e4f308048190a5c42022e3f9e855 completed March 28, 2026, 2:25 p.m.
NEDg Description generation batch_69c7e58bcc908190b4260b1adfb1629d completed March 28, 2026, 2:28 p.m.
NED2 Entity disambiguation (via description) batch_69c7e67d64748190a4b5765a06413fd6 completed March 28, 2026, 2:32 p.m.
Created at: March 27, 2026, 1:51 p.m.