Triple

T17875994
Position Surface form Disambiguated ID Type / Status
Subject Hannah E446953 entity
Predicate hasVariant P455 FINISHED
Object Channah 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: Channah | Statement: [Hannah, hasVariant, Channah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Channah
Context triple: [Hannah, hasVariant, Channah]
  • A. Channah chosen
    Channah is a given name, often considered a variant of the Hebrew name Hannah, traditionally associated with grace or favor.
  • B. Damara
    The Damara are an indigenous ethnic group of Namibia known for their distinct language, rich oral traditions, and historical presence in the country’s northwestern regions.
  • C. Janna
    Janna is an American tax attorney best known as the wife of former U.S. Speaker of the House and 2012 vice-presidential nominee Paul Ryan.
  • D. Tannis
    Tannis is a surname that can refer to various individuals, including those with the given name Camelia.
  • E. Renaelva
    Renaelva is a river in eastern Norway that flows through Hedmark county before joining the larger Glomma river.
  • 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_69d8b9f4c22c819093c2680434472894 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49aa614b48190bdc9e905e9e6d5e0 completed April 19, 2026, 9:04 a.m.
Created at: April 10, 2026, 10:18 a.m.