Triple

T11279560
Position Surface form Disambiguated ID Type / Status
Subject Anne E267026 entity
Predicate isVariantOf P455 FINISHED
Object Channah E142619 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: Channah | Statement: [Anne, isVariantOf, Channah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Channah
Context triple: [Anne, isVariantOf, 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. Renaelva
    Renaelva is a river in eastern Norway that flows through Hedmark county before joining the larger Glomma river.
  • D. Kynthia
    Kynthia is an ancient Greek epithet and form of the name Cynthia, traditionally associated with the moon goddess Artemis and the island of Kynthos (Cynthus).
  • E. Rainelle
    Rainelle is a small town located in western Greenbrier County, West Virginia, historically tied to the lumber industry and the surrounding Appalachian region.
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e969b3448190940e2bd499d2d7de completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f46308348190a47f73030cae0be5 completed April 19, 2026, 3:27 p.m.
Created at: April 8, 2026, 9:31 p.m.