Triple

T19448590
Position Surface form Disambiguated ID Type / Status
Subject Alvarito E486550 entity
Predicate derivedFrom P909 FINISHED
Object Álvaro 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: Álvaro | Statement: [Alvarito, derivedFrom, Álvaro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Álvaro
Context triple: [Alvarito, derivedFrom, Álvaro]
  • A. Álvaro chosen
    Álvaro is a masculine given name of Spanish origin commonly used in Spain and Latin America.
  • B. Hugo Reyes
    Hugo Reyes, nicknamed "Hurley," is a beloved, good-natured lottery winner and survivor from the television series Lost, known for his humor, compassion, and struggles with bad luck.
  • C. Javier
    Javier is a masculine given name of Spanish origin commonly used in Spanish-speaking countries and beyond.
  • D. Jorge
    Jorge is the birth name of Pope Francis, the head of the Roman Catholic Church and the first pope from the Americas.
  • E. Jorge
    Jorge is the given name of the renowned Argentine writer and poet Jorge Luis Borges, a central figure in 20th-century literature.
  • 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6338be5a48190973d9ecae853900c completed April 20, 2026, 2:09 p.m.
Created at: April 10, 2026, 1:38 p.m.