Triple

T1513421
Position Surface form Disambiguated ID Type / Status
Subject Gonzalo García Barcha E32064 entity
Predicate parent P120 FINISHED
Object Mercedes Barcha E32064 NE FINISHED

How this triple was built (2 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: Mercedes Barcha | Statement: [Gonzalo García Barcha, parent, Mercedes Barcha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mercedes Barcha
Context triple: [Gonzalo García Barcha, parent, Mercedes Barcha]
  • A. Mercedes Barcha chosen
    Mercedes Barcha was the longtime wife and muse of Nobel Prize–winning author Gabriel García Márquez, known for her steadfast support throughout his literary career.
  • B. Mercedes Hester Davidson
    Mercedes Hester Davidson was the first wife of U.S. Supreme Court Justice William O. Douglas, to whom he was married before his rise to national prominence.
  • C. Elizabeth Pomada
    Elizabeth Pomada is an American author and historian best known for popularizing San Francisco’s colorful Victorian houses through her influential work on the “Painted Ladies.”
  • D. Maria Thins
    Maria Thins was a wealthy and devout Catholic woman in Delft best known as the mother-in-law and patron of the Dutch painter Johannes Vermeer.
  • E. Micheline
    Micheline is a feminine given name of French origin, commonly used in French-speaking countries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a885e8caf88190a5fbb6159ce87786 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a907d901ac8190be55ed4bac609d1d completed March 5, 2026, 4:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad3702076881908e07d770da1a6e4d completed March 8, 2026, 8:44 a.m.
Created at: March 4, 2026, 7:26 p.m.