Triple

T20493289
Position Surface form Disambiguated ID Type / Status
Subject Caer en tentación E502801 entity
Predicate castMember P1668 FINISHED
Object Germán Bracco
Germán Bracco is a Mexican actor known for his work in television telenovelas and series.
E1435147 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: Germán Bracco | Statement: [Caer en tentación, castMember, Germán Bracco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Germán Bracco
Context triple: [Caer en tentación, castMember, Germán Bracco]
  • A. Alfredo Landa
    Alfredo Landa was a prominent Spanish film and television actor, celebrated for his versatile performances and for popularizing the "landismo" comedic style in Spanish cinema.
  • B. Martín Ferres
    Martín Ferres is an Argentine bandoneon player best known as a core member of the neo-tango collective Bajofondo.
  • C. Sabás Marín
    Sabás Marín was a Spanish military officer and colonial administrator who served as Captain General and governor of Cuba in the late 19th century.
  • D. Ignacio Bernal
    Ignacio Bernal was a prominent Mexican archaeologist and historian known for his influential excavations and research on pre-Columbian Mesoamerican cultures.
  • E. Juan Antonio Gonzalo
    Juan Antonio Gonzalo is a person known primarily as the love interest of the character Vicky.
  • 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: Germán Bracco
Triple: [Caer en tentación, castMember, Germán Bracco]
Generated description
Germán Bracco is a Mexican actor known for his work in television telenovelas and series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Germán Bracco
Target entity description: Germán Bracco is a Mexican actor known for his work in television telenovelas and series.
  • A. Alfredo Landa
    Alfredo Landa was a prominent Spanish film and television actor, celebrated for his versatile performances and for popularizing the "landismo" comedic style in Spanish cinema.
  • B. Martín Ferres
    Martín Ferres is an Argentine bandoneon player best known as a core member of the neo-tango collective Bajofondo.
  • C. Sabás Marín
    Sabás Marín was a Spanish military officer and colonial administrator who served as Captain General and governor of Cuba in the late 19th century.
  • D. Ignacio Bernal
    Ignacio Bernal was a prominent Mexican archaeologist and historian known for his influential excavations and research on pre-Columbian Mesoamerican cultures.
  • E. Juan Antonio Gonzalo
    Juan Antonio Gonzalo is a person known primarily as the love interest of the character Vicky.
  • 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_69e0b4b0373881909dd3e9387f82eab4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69cbb3bd081909351525208b41bba completed April 20, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a089d2ff2c081908f7ccc4ef2767d14 completed May 16, 2026, 4:37 p.m.
NEDg Description generation batch_6a089dd1abd08190a662efd4a23eacba completed May 16, 2026, 4:39 p.m.
NED2 Entity disambiguation (via description) batch_6a089e76035c8190b1b48d102f710fdd completed May 16, 2026, 4:42 p.m.
Created at: April 16, 2026, 11:35 a.m.