Triple

T9489408
Position Surface form Disambiguated ID Type / Status
Subject Demián Bichir E228846 entity
Predicate parent P120 FINISHED
Object Alejandro Bichir
Alejandro Bichir is a Mexican actor and member of the prominent Bichir acting family.
E803550 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: Alejandro Bichir | Statement: [Demián Bichir, parent, Alejandro Bichir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alejandro Bichir
Context triple: [Demián Bichir, parent, Alejandro Bichir]
  • A. Raúl Castillo
    Raúl Castillo is an American actor and playwright best known for his roles in the HBO series "Looking" and various independent films and television dramas.
  • B. Miguel Ángel Ramírez
    Miguel Ángel Ramírez is a Spanish football manager known for his tactical work in South American and Major League Soccer clubs.
  • C. Rodolfo Landa
    Rodolfo Landa was a Mexican actor known for his work in mid-20th-century cinema and collaborations with prominent directors such as Luis Buñuel.
  • D. Nestor Carbonell
    Nestor Carbonell is an American actor best known for his roles in the television series "Lost" and "Bates Motel," as well as numerous film and voice-acting appearances.
  • E. Eugenio Derbez
    Eugenio Derbez is a Mexican actor, comedian, and filmmaker known for his work in both Spanish- and English-language film and television, including prominent roles in international hits.
  • 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: Alejandro Bichir
Triple: [Demián Bichir, parent, Alejandro Bichir]
Generated description
Alejandro Bichir is a Mexican actor and member of the prominent Bichir acting family.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Alejandro Bichir
Target entity description: Alejandro Bichir is a Mexican actor and member of the prominent Bichir acting family.
  • A. Raúl Castillo
    Raúl Castillo is an American actor and playwright best known for his roles in the HBO series "Looking" and various independent films and television dramas.
  • B. Miguel Ángel Ramírez
    Miguel Ángel Ramírez is a Spanish football manager known for his tactical work in South American and Major League Soccer clubs.
  • C. Rodolfo Landa
    Rodolfo Landa was a Mexican actor known for his work in mid-20th-century cinema and collaborations with prominent directors such as Luis Buñuel.
  • D. Nestor Carbonell
    Nestor Carbonell is an American actor best known for his roles in the television series "Lost" and "Bates Motel," as well as numerous film and voice-acting appearances.
  • E. Eugenio Derbez
    Eugenio Derbez is a Mexican actor, comedian, and filmmaker known for his work in both Spanish- and English-language film and television, including prominent roles in international hits.
  • 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_69ca847424f081908180305555139f7a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd80c5a05c8190b97d34f010e60ca1 completed April 1, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69d139fdaccc8190b5c160aedcfcceca completed April 4, 2026, 4:19 p.m.
NEDg Description generation batch_69d13b3887148190b2cfe4a1466509fa completed April 4, 2026, 4:24 p.m.
NED2 Entity disambiguation (via description) batch_69d13b975c688190be72b89cf1845956 completed April 4, 2026, 4:25 p.m.
Created at: March 30, 2026, 7:55 p.m.