Triple

T4681278
Position Surface form Disambiguated ID Type / Status
Subject Christine of France E103807 entity
Predicate givenName P17 FINISHED
Object Christine Marie 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: Christine Marie | Statement: [Christine of France, givenName, Christine Marie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christine Marie
Context triple: [Christine of France, givenName, Christine Marie]
  • 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. 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.
  • C. Christine Donovan
    Christine Donovan is the spouse of American basketball coach Billy Donovan, known for her long-standing support throughout his collegiate and NBA coaching career.
  • D. Kristine
    Kristine is a feminine given name commonly considered a variant of Christine or Christina, used in various European and English-speaking countries.
  • E. Christine Taylor
    Christine Taylor is an American actress and comedian known for roles in films like "The Brady Bunch Movie," "Zoolander," and "Dodgeball."
  • 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_69bd43debbf08190b4bc372e286ec234 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd636d306081908ff512896f54cb10 completed March 20, 2026, 3:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03ac44d481908ecb1fe84184a886 completed March 21, 2026, 2:34 a.m.
Created at: March 20, 2026, 1:16 p.m.