Triple

T20416875
Position Surface form Disambiguated ID Type / Status
Subject Christianna Brand E500733 entity
Predicate usedPseudonym P3799 FINISHED
Object China Thomson 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: China Thomson | Statement: [Christianna Brand, usedPseudonym, China Thomson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: China Thomson
Context triple: [Christianna Brand, usedPseudonym, China Thomson]
  • A. China Thomson chosen
    China Thomson is a pseudonym of Christianna Brand, the British crime novelist best known for her Inspector Cockrill detective stories.
  • B. Thomson Newspapers
    Thomson Newspapers was a major North American newspaper publishing company that operated numerous daily and community papers before being absorbed into the larger Thomson media conglomerate.
  • C. TOMSON
    TOMSON is the radio callsign used by Thomsonfly, a former British charter and scheduled airline.
  • D. Thomson
    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.
  • E. 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.
  • 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_69e0b4a935588190b9446a99b37ced44 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67a4437448190b07b6e6e3de5830f completed April 20, 2026, 7:11 p.m.
Created at: April 16, 2026, 11:30 a.m.