Triple

T7610856
Position Surface form Disambiguated ID Type / Status
Subject García Márquez family E172231 entity
Predicate notableMember P10 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: [García Márquez family, notableMember, Mercedes Barcha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mercedes Barcha
Context triple: [García Márquez family, notableMember, 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. Selma Benziada
    Selma Benziada is a town and commune located in Jijel Province in northeastern Algeria.
  • C. Mercedes Miller
    Mercedes Miller is known as the spouse of the late American actor, author, and political activist Christopher Lawford, a member of the Kennedy family.
  • D. 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.
  • E. Mercedes Tomasa
    Mercedes Tomasa de San Martín was the daughter of Argentine independence leader General José de San Martín and is remembered primarily for her close association with his legacy.
  • 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_69c6994f50808190ba228764bb422417 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa20ac2c8190ac7ab90b4df406b6 completed March 27, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b4f142c48190a63f6e25dad3d57e completed March 29, 2026, 5:13 a.m.
Created at: March 27, 2026, 3:55 p.m.