Triple

T3984104
Position Surface form Disambiguated ID Type / Status
Subject Phil S. Baran E86827 entity
Predicate notableStudent P4838 FINISHED
Object Tobias Ritter E406951 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: Tobias Ritter | Statement: [Phil S. Baran, notableStudent, Tobias Ritter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tobias Ritter
Context triple: [Phil S. Baran, notableStudent, Tobias Ritter]
  • A. Tobias Ritter chosen
    Tobias Ritter is a German-born organic chemist recognized for his contributions to fluorination chemistry and for leading a prominent research group in synthetic methodology.
  • B. Tobias Fünke
    Tobias Fünke is a socially awkward, aspiring actor and former analyst-therapist known for his oblivious behavior and unintentional double entendres in the television series "Arrested Development."
  • C. Tobias Kohn
    Tobias Kohn is a computer scientist and software developer known for his contributions to the Python language, including co-authoring PEP 622 on pattern matching.
  • D. Tobias Segal
    Tobias Segal is an American actor known for his supporting roles in film, television, and theater, including an appearance in the action franchise John Wick.
  • E. Tobias Read
    Tobias Read is an American politician who has served as Oregon's State Treasurer, overseeing the state's financial management and public investment programs.
  • 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_69aed93fd9d4819085d3b2137d2346cb completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef9de58d48190969f354a1bf0df94 completed March 9, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5561f0a2881909d758a8fba58309d completed March 14, 2026, 12:35 p.m.
Created at: March 9, 2026, 3:33 p.m.