Triple

T14641476
Position Surface form Disambiguated ID Type / Status
Subject Gregorio Cortez E343733 entity
Predicate hasSurname P18 FINISHED
Object Cortez E343733 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: Cortez | Statement: [Gregorio Cortez, hasSurname, Cortez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cortez
Context triple: [Gregorio Cortez, hasSurname, Cortez]
  • A. Cortez chosen
    Cortez is a Spanish-origin surname historically associated with figures in the Americas, including the Mexican-American folk hero Gregorio Cortez.
  • B. Diego de los Ríos
    Diego de los Ríos was a Spanish general and colonial administrator best known as the last Spanish Governor-General of the Philippines during the final phase of Spanish rule in the archipelago.
  • C. Gonzalve
    Gonzalve is a poetic, romantic tenor character in Maurice Ravel’s one-act opera "L’heure espagnole," known for his flowery declarations of love.
  • D. Alvarado
    Alvarado is a historic port city in the Mexican state of Veracruz, known for its fishing industry and location near the Gulf of Mexico.
  • E. Diego de la Vega
    Diego de la Vega is the secret identity of Zorro, the fictional Californio nobleman and masked vigilante hero created by Johnston McCulley.
  • 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_69d822e1a2cc81908e5bb93cf61ce3cc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4e80aa48190884bab800f357106 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5d404e881908d26e684702ae122 completed May 8, 2026, 12:23 p.m.
Created at: April 10, 2026, 1:26 a.m.