Triple

T7521686
Position Surface form Disambiguated ID Type / Status
Subject Christiane Herzog E177784 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 Herzog, givenName, Christiane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christiane
Context triple: [Christiane Herzog, 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_69c69f29bf3081909a146aec7755f185 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f7c3c4c08190ad418978afcc98ec completed March 27, 2026, 9:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84629f00c8190a64d51586bd3b96c completed March 28, 2026, 9:20 p.m.
Created at: March 27, 2026, 3:46 p.m.