Triple

T18991057
Position Surface form Disambiguated ID Type / Status
Subject Edward C. Christl Jr. E464682 entity
Predicate familyName P18 FINISHED
Object Christl 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: Christl | Statement: [Edward C. Christl Jr., familyName, Christl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christl
Context triple: [Edward C. Christl Jr., familyName, Christl]
  • A. Christel chosen
    Christel is a feminine given name used in various European and international contexts, often as a variant of Christelle or Christa.
  • B. Kristel
    Kristel is a given name commonly used for women in various countries, often considered a variant of Crystal/Krystal.
  • C. Christa
    Christa was the first name of Christa McAuliffe, the American teacher and astronaut selected as the first private citizen to fly in space.
  • D. Christianne
    Christianne is a feminine given name of Latin origin, commonly used in German- and English-speaking countries.
  • E. 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.
  • 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_69d8dd01a56c81909694a128c66b21d7 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d67dee4c8190ac2017ff748ea6aa completed April 20, 2026, 7:32 a.m.
Created at: April 10, 2026, 12:01 p.m.