Triple

T21609534
Position Surface form Disambiguated ID Type / Status
Subject The Just Men of Cordova E533262 entity
Predicate hasMainCharacter P1183 FINISHED
Object Gonsalez 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: Gonsalez | Statement: [The Just Men of Cordova, hasMainCharacter, Gonsalez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gonsalez
Context triple: [The Just Men of Cordova, hasMainCharacter, Gonsalez]
  • A. Gonsalez chosen
    Gonsalez is one of the central vigilante protagonists in Edgar Wallace’s classic crime thriller series "The Four Just Men."
  • B. González
    González is a common Spanish-language surname widely borne across Spain and Latin America, often associated with Iberian heritage.
  • C. Garciaz
    Garciaz is a small municipality in the province of Cáceres, in the Extremadura region of western Spain.
  • D. Gonzales
    Gonzales is a small agricultural city in California’s Salinas Valley, known for its farming-based economy and rural community character.
  • E. Gonzales
    Gonzales is a small city in southeastern Louisiana known as the "Jambalaya Capital of the World" and a regional hub between Baton Rouge and New Orleans.
  • 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_69e0c46411108190bba0d4176dffc9f3 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef17e7d1388190922a90cb91ec9fc4 completed April 27, 2026, 8:01 a.m.
Created at: April 16, 2026, 6:33 p.m.