Triple

T17694872
Position Surface form Disambiguated ID Type / Status
Subject Christinas Heimreise E441134 entity
Predicate hasMainCharacter P1183 FINISHED
Object Christina 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: Christina | Statement: [Christinas Heimreise, hasMainCharacter, Christina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christina
Context triple: [Christinas Heimreise, hasMainCharacter, 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 (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_69d8b9e940b081908b862bb0e6e89b0d completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e471559744819080b99081c90ab614 completed April 19, 2026, 6:08 a.m.
Created at: April 10, 2026, 10:04 a.m.