Triple

T15405237
Position Surface form Disambiguated ID Type / Status
Subject Christianus E368434 entity
Predicate hasVariant P455 FINISHED
Object Christina E75185 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: Christina | Statement: [Christianus, hasVariant, Christina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christina
Context triple: [Christianus, hasVariant, Christina]
  • A. Christina chosen
    Christina is a feminine given name widely used in many cultures, often associated with notable figures in entertainment, arts, and public life.
  • B. Christina Evangeline
    Christina Evangeline is an American model and wellness advocate best known as the former wife of comedian and Saturday Night Live star Kenan Thompson.
  • C. Christiane
    Christiane is the given name of Christiane Nüsslein-Volhard, the Nobel Prize–winning German developmental biologist known for her pioneering work on genetic control of embryonic development.
  • D. Christianne
    Christianne is a feminine given name of Latin origin, commonly used in German- and English-speaking countries.
  • E. Christine Elise
    Christine Elise is an American actress best known for her role as Emily Valentine on the television series Beverly Hills, 90210.
  • 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_69ff219de0f88190a914bfee5dde32c9 completed May 9, 2026, 11:59 a.m.
Created at: April 10, 2026, 3:20 a.m.