Triple

T23540948
Position Surface form Disambiguated ID Type / Status
Subject Jonathan Katz E577744 entity
Predicate familyName P18 FINISHED
Object Katz 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: Katz | Statement: [Jonathan Katz, familyName, Katz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katz
Context triple: [Jonathan Katz, familyName, Katz]
  • A. Katz chosen
    Katz is a common German and Ashkenazi Jewish surname, often associated with families of Central and Eastern European origin.
  • B. Katzie
    The Katzie are a First Nations people of the Coast Salish cultural group whose traditional territory lies in the lower Fraser River region of British Columbia, Canada.
  • C. Kato Kleines
    Kato Kleines is a village located in the Florina regional unit of Western Macedonia in northern Greece.
  • D. Catz
    Catz is the surname of Safra Catz, a prominent business executive best known as the CEO of Oracle Corporation.
  • E. Catz
    Catz is a small commune in the Manche department of northwestern France, situated in the historic Normandy region.
  • 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_69e245f9d5d08190a4a20004e1784e20 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1ae1b3a8c8190b5b6a58f0476c5d2 completed April 29, 2026, 7:07 a.m.
Created at: April 17, 2026, 6:10 p.m.