Triple

T15405236
Position Surface form Disambiguated ID Type / Status
Subject Christianus E368434 entity
Predicate hasVariant P455 FINISHED
Object Christiana E618173 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: Christiana | Statement: [Christianus, hasVariant, Christiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christiana
Context triple: [Christianus, hasVariant, Christiana]
  • A. Christiana chosen
    Christiana is a personal name used as a given name, notably borne by individuals such as Christiana Wyly.
  • B. Christiana
    Christiana is a prominent inland town in central Jamaica known as a commercial and agricultural hub within the parish of Manchester.
  • C. Christiana
    Christiana is a small agricultural and diamond-mining town in South Africa’s North West province, situated along the Vaal River.
  • D. Bernardine
    Bernardine is a 1957 musical comedy film starring Pat Boone in one of his early leading screen roles.
  • E. Bridgitt
    Bridgitt is a given name that functions as an alternative spelling of the name Bridgette.
  • 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e8fde64819082ec0c68df305561 completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a716248819094fd8b205cc2a3f2 completed May 9, 2026, 11:28 a.m.
Created at: April 10, 2026, 3:20 a.m.