Triple

T17586372
Position Surface form Disambiguated ID Type / Status
Subject Henrique E428331 entity
Predicate hasVariantSpelling P457 FINISHED
Object Henric 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: Henric | Statement: [Henrique, hasVariantSpelling, Henric]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henric
Context triple: [Henrique, hasVariantSpelling, Henric]
  • A. Henricus chosen
    Henricus is a Latinized given name historically used across Europe, corresponding to names like Henry and Henrique.
  • B. Henricus
    Henricus was a medieval Roman Catholic bishop who served as the ecclesiastical leader of the Diocese of Gardar in Greenland.
  • C. Henricus
    Henricus was an early 17th-century English colonial settlement in Virginia, established as one of the first permanent towns in North America.
  • D. King Henrik
    King Henrik is the celebrated nickname of Henrik Lundqvist, the star Swedish goaltender renowned for his standout NHL career with the New York Rangers.
  • E. Henrik
    Henrik is the given name of the renowned Norwegian mathematician Niels Henrik Abel, known for his pioneering work in algebra and analysis.
  • 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e463d22f908190ae0f1eeafbe54459 completed April 19, 2026, 5:10 a.m.
Created at: April 10, 2026, 5:50 a.m.