Triple

T2244717
Position Surface form Disambiguated ID Type / Status
Subject Lord Kelvin E49475 entity
Predicate familyName P18 FINISHED
Object Thomson E86329 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: Thomson | Statement: [Lord Kelvin, familyName, Thomson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomson
Context triple: [Lord Kelvin, familyName, Thomson]
  • A. Thomson chosen
    Thomson is a common Scottish surname historically associated with the patronymic "son of Thomas" and borne by numerous notable figures in science, politics, and the arts.
  • B. Thomson SA
    Thomson SA was a major French electronics and media conglomerate known for its consumer electronics, broadcasting, and defense-related technologies.
  • C. Tomlinson
    Tomlinson is a surname most notably associated with Ray Tomlinson, the American computer programmer credited with inventing networked email and introducing the "@" symbol in email addresses.
  • D. Thompson
    Thompson is a common English-language surname borne by numerous notable individuals across fields such as acting, sports, politics, and science.
  • E. Crompton
    Crompton is an English surname most notably associated with Samuel Crompton, the inventor of the spinning mule that revolutionized textile manufacturing during the Industrial Revolution.
  • 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_69a88aa979788190ad6500f1d8eee2fc completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc0e8d5648190915ff689c7ca42bc completed March 7, 2026, 6:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6b1284d0819093b041ede90d4c53 completed March 9, 2026, 6:39 a.m.
Created at: March 4, 2026, 7:47 p.m.