Triple

T21333064
Position Surface form Disambiguated ID Type / Status
Subject Theodor Isaac Rubin E525962 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: [Theodor Isaac Rubin, givenName, Theodor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Theodor
Context triple: [Theodor Isaac Rubin, 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 chosen
    Theodor is a masculine given name of Greek origin, commonly used in various European languages and meaning “gift of God.”
  • D. Theodor
    Theodor is a given name most notably associated with Austrian-American actor, folk singer, and activist Theodore Bikel.
  • 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_69e0b51b90788190a4dd823d962626da completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e898d42d148190b2b067ff82a9e2e6 completed April 22, 2026, 9:45 a.m.
Created at: April 16, 2026, 4:42 p.m.