Triple

T21141598
Position Surface form Disambiguated ID Type / Status
Subject Lisandro López E520942 entity
Predicate fullName P16 FINISHED
Object Lisandro López NE NERFINISHED

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: Lisandro López | Statement: [Lisandro López, fullName, Lisandro López]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lisandro López
Context triple: [Lisandro López, fullName, Lisandro López]
  • A. Lisandro López chosen
    Lisandro López is an Argentine footballer best known as a prolific forward and iconic captain for Racing Club de Avellaneda.
  • B. Hernán Barra
    Hernán Barra is an individual known primarily for bearing the surname Barra, though specific widely recognized biographical or professional details about him are not well documented.
  • C. Sebastián Grazzini
    Sebastián Grazzini is an Argentine former professional footballer best known as an attacking midfielder who played in Major League Soccer and various leagues in South America and Europe.
  • D. Esteban Tossutti
    Esteban Tossutti is an Argentine entrepreneur best known for co-founding Flybondi, one of Argentina’s first low-cost airlines.
  • E. Roberto Goyeneche
    Roberto Goyeneche was a renowned Argentine tango singer celebrated for his expressive phrasing and influential interpretations of classic tangos.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b50c6a848190a4e525a77a319b8a completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e723f96cf081909d10309e08aeca93 completed April 21, 2026, 7:15 a.m.
Created at: April 16, 2026, 2:57 p.m.