Triple

T23255708
Position Surface form Disambiguated ID Type / Status
Subject Gustav Fechner E581863 entity
Predicate givenName P17 FINISHED
Object Theodor 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: Theodor | Statement: [Gustav Fechner, givenName, Theodor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Theodor
Context triple: [Gustav Fechner, givenName, Theodor]
  • A. Theodor
    Theodor "Ted" Nelson is an American pioneer of information technology best known for coining the term "hypertext" and envisioning global hyperlinked document systems.
  • B. Theodor
    Theodor is the given name of Emil Theodor Kocher, a Swiss surgeon and Nobel laureate renowned for his pioneering work in thyroid surgery.
  • C. Theodor
    Theodor is a given name most notably associated with Austrian-American actor, folk singer, and activist Theodore Bikel.
  • D. Theodor chosen
    Theodor is a masculine given name of Greek origin, commonly used in various European languages and meaning “gift of God.”
  • E. Theodor-Peter
    Theodor-Peter, better known as Peter IV of Bulgaria, was a 12th-century Bulgarian tsar who co-led the successful uprising that restored the Bulgarian Empire after Byzantine rule.
  • 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_69e246079f58819085eaa9c260906880 completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f194c4905c819099ca21c6529413ac completed April 29, 2026, 5:19 a.m.
Created at: April 17, 2026, 4:11 p.m.