Triple

T23236543
Position Surface form Disambiguated ID Type / Status
Subject Valentín Canalizo E581313 entity
Predicate familyName P18 FINISHED
Object Canalizo
Canalizo is a Spanish-language surname most notably associated with Valentín Canalizo, a 19th-century Mexican military leader and politician.
 E1578940 NE FINISHED

How this triple was built (4 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: Canalizo | Statement: [Valentín Canalizo, familyName, Canalizo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Canalizo
Context triple: [Valentín Canalizo, familyName, Canalizo]
  • A. Kinda Canal
    Kinda Canal is a historic Swedish waterway in Östergötland that connects a series of lakes and rivers, serving both recreational boating and tourism.
  • B. Drift canal
    Drift canal is a historic waterway running through the center of Utrecht in the Netherlands, known for its picturesque bridges and surrounding medieval architecture.
  • C. The Canal
    The Canal is a 2014 Irish psychological horror film about a film archivist who becomes convinced his house is haunted after discovering disturbing footage linked to a past murder.
  • D. The Canal
    The Canal is a notable waterway landmark in the fictional town of Derry, Maine, prominently featured in Stephen King’s works.
  • E. Canal
    Canal is a Madrid Metro station serving as an interchange between lines 2 and 7 in the Chamberí district of Spain's capital.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Canalizo
Triple: [Valentín Canalizo, familyName, Canalizo]
Generated description
Canalizo is a Spanish-language surname most notably associated with Valentín Canalizo, a 19th-century Mexican military leader and politician.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Canalizo
Target entity description: Canalizo is a Spanish-language surname most notably associated with Valentín Canalizo, a 19th-century Mexican military leader and politician.
  • A. Kinda Canal
    Kinda Canal is a historic Swedish waterway in Östergötland that connects a series of lakes and rivers, serving both recreational boating and tourism.
  • B. Drift canal
    Drift canal is a historic waterway running through the center of Utrecht in the Netherlands, known for its picturesque bridges and surrounding medieval architecture.
  • C. The Canal
    The Canal is a 2014 Irish psychological horror film about a film archivist who becomes convinced his house is haunted after discovering disturbing footage linked to a past murder.
  • D. The Canal
    The Canal is a notable waterway landmark in the fictional town of Derry, Maine, prominently featured in Stephen King’s works.
  • E. Canal
    Canal is a Madrid Metro station serving as an interchange between lines 2 and 7 in the Chamberí district of Spain's capital.
  • F. None of above. chosen

Provenance (5 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_69e2460556f88190be1744a84a84173f completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f192e98dec8190a23385600bed9ae0 completed April 29, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c3f5c2004819086c7e7c629e33b67 completed May 19, 2026, 10:45 a.m.
NEDg Description generation batch_6a0c4028b44c8190bde6e2c76b5f1587 completed May 19, 2026, 10:49 a.m.
NED2 Entity disambiguation (via description) batch_6a0c4367753c8190a4f6dbf2afd12b76 completed May 19, 2026, 11:03 a.m.
Created at: April 17, 2026, 4:09 p.m.