Triple

T4949
Position Surface form Disambiguated ID Type / Status
Subject J. Erik Jonsson E97 entity
Predicate familyName P18 FINISHED
Object Jonsson E97 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: Jonsson | Statement: [J. Erik Jonsson, familyName, Jonsson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonsson
Context triple: [J. Erik Jonsson, familyName, Jonsson]
  • A. Johan
    Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
  • B. Theodor
    Theodor "Ted" Nelson is an American pioneer of information technology best known for coining the term "hypertext" and envisioning global hyperlinked document systems.
  • C. Edwin
    Edwin is a masculine given name of Old English origin meaning "rich friend" or "prosperous friend."
  • D. Carl
    Carl is the given name of Carl Sagan, the renowned American astronomer, science communicator, and author.
  • E. J. Erik Jonsson chosen
    J. Erik Jonsson was an American businessman, co-founder of Texas Instruments, and civic leader who served as mayor of Dallas and was recognized for his significant contributions to public welfare and science.
  • 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_69a238d6b47881909e68288aed2fd858 completed Feb. 28, 2026, 12:37 a.m.
NER Named-entity recognition batch_69a2399d5cf88190998f9b95c817a60f completed Feb. 28, 2026, 12:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69a25528aa18819088213f16547924ca completed Feb. 28, 2026, 2:38 a.m.
Created at: Feb. 28, 2026, 12:40 a.m.