Triple

T20112697
Position Surface form Disambiguated ID Type / Status
Subject Jenni Rivera E490372 entity
Predicate spouse P13 FINISHED
Object Juan López
Juan López was the second husband of Mexican-American singer Jenni Rivera, with whom he had two children before their divorce.
E1458646 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: Juan López | Statement: [Jenni Rivera, spouse, Juan López]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juan López
Context triple: [Jenni Rivera, spouse, Juan López]
  • A. Luis Lopez
    Luis Lopez is a film producer best known for his work on the acclaimed video game documentary "The King of Kong: A Fistful of Quarters."
  • B. Hernan Lopez
    Hernan Lopez is a media executive and producer best known as the founder and former CEO of Wondery, a major podcast network behind several hit narrative audio series.
  • C. David Lopez
    David Lopez is best known as the father of American singer, actress, and producer Jennifer Lopez.
  • D. Mauro Guillén
    Mauro Guillén is a Spanish-American sociologist, economist, and business school dean known for his research on globalization, demographic change, and the future of markets.
  • E. Jose Villarrubia
    Jose Villarrubia is a Spanish-born comic book colorist and artist renowned for his atmospheric, painterly work on numerous high-profile titles for major publishers like Marvel and DC.
  • 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: Juan López
Triple: [Jenni Rivera, spouse, Juan López]
Generated description
Juan López was the second husband of Mexican-American singer Jenni Rivera, with whom he had two children before their divorce.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Juan López
Target entity description: Juan López was the second husband of Mexican-American singer Jenni Rivera, with whom he had two children before their divorce.
  • A. Luis Lopez
    Luis Lopez is a film producer best known for his work on the acclaimed video game documentary "The King of Kong: A Fistful of Quarters."
  • B. Hernan Lopez
    Hernan Lopez is a media executive and producer best known as the founder and former CEO of Wondery, a major podcast network behind several hit narrative audio series.
  • C. David Lopez
    David Lopez is best known as the father of American singer, actress, and producer Jennifer Lopez.
  • D. Mauro Guillén
    Mauro Guillén is a Spanish-American sociologist, economist, and business school dean known for his research on globalization, demographic change, and the future of markets.
  • E. Jose Villarrubia
    Jose Villarrubia is a Spanish-born comic book colorist and artist renowned for his atmospheric, painterly work on numerous high-profile titles for major publishers like Marvel and DC.
  • 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_69da62636cc08190982cc71733a17b8d completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e666e21f908190b46c747662ff378a completed April 20, 2026, 5:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a092770f2808190a58afbf4a3cd836a completed May 17, 2026, 2:26 a.m.
NEDg Description generation batch_6a09282809588190b8dc9893816b5c47 completed May 17, 2026, 2:30 a.m.
NED2 Entity disambiguation (via description) batch_6a092896b75881909d5145ccaef0cd7e completed May 17, 2026, 2:31 a.m.
Created at: April 11, 2026, 11:29 p.m.