Triple

T10407656
Position Surface form Disambiguated ID Type / Status
Subject Thomson Mason E245303 entity
Predicate givenName P17 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: [Thomson Mason, givenName, Thomson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomson
Context triple: [Thomson Mason, givenName, 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 Corporation
    Thomson Corporation was a major Canadian multinational media and information company that became one of the world’s largest providers of news and financial data before merging to form Thomson Reuters.
  • C. Thomson and Thompson
    Thomson and Thompson are the bumbling, nearly identical twin detectives from Hergé’s *The Adventures of Tintin*, known for their clumsy investigations and comic misunderstandings.
  • D. Thomson SA
    Thomson SA was a major French electronics and media conglomerate known for its consumer electronics, broadcasting, and defense-related technologies.
  • E. TOMSON
    TOMSON is the radio callsign used by Thomsonfly, a former British charter and scheduled airline.
  • 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9f9b59881909797646fd8cd6a7e completed April 7, 2026, 11:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fbf1c428819099ca359309c4c836 completed April 9, 2026, 7:20 p.m.
Created at: April 6, 2026, 12:09 p.m.