Triple

T9123391
Position Surface form Disambiguated ID Type / Status
Subject Christiane Schröder E218912 entity
Predicate givenName P17 FINISHED
Object Christiane E370245 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: Christiane | Statement: [Christiane Schröder, givenName, Christiane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christiane
Context triple: [Christiane Schröder, givenName, Christiane]
  • A. Christiane chosen
    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.
  • B. Christianne
    Christianne is a feminine given name of Latin origin, commonly used in German- and English-speaking countries.
  • C. Christina
    Christina is a feminine given name widely used in many cultures, often associated with notable figures in entertainment, arts, and public life.
  • D. 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.
  • E. Sandra
    Sandra is a 1965 Italian drama film by Luchino Visconti, noted for its modern reworking of the Electra myth and its exploration of family secrets and guilt.
  • 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_69ca83dddd548190983b96c664f7f367 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8b5fa188190be6465e74cf26915 completed April 1, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0308ff628819083f02bf71eb40c5b completed April 3, 2026, 9:26 p.m.
Created at: March 30, 2026, 7:17 p.m.