Triple

T19618246
Position Surface form Disambiguated ID Type / Status
Subject Hendrik Meijer (businessman, 1883–1964) E470923 entity
Predicate familyName P18 FINISHED
Object Meijer 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: Meijer | Statement: [Hendrik Meijer (businessman, 1883–1964), familyName, Meijer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meijer
Context triple: [Hendrik Meijer (businessman, 1883–1964), familyName, Meijer]
  • A. Meijer chosen
    Meijer is a Dutch-origin surname borne by numerous individuals, including notable figures in business, politics, and the arts.
  • B. Kroger
    Kroger is one of the largest supermarket and retail grocery chains in the United States, operating thousands of stores under various banners nationwide.
  • C. Safeway
    Safeway is a major American supermarket chain offering groceries, household goods, and pharmacy services across numerous locations.
  • D. Maxi-Mart
    Maxi-Mart is a local convenience and grocery store in Highland, Texas, serving as a notable neighborhood shopping spot for residents.
  • E. Publix
    Publix is a major employee-owned American supermarket chain based in the Southeastern United States.
  • 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_69d8e510fa248190b7afb274a1d4cf73 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640e346548190b12e38d716bdfc4f completed April 20, 2026, 3:06 p.m.
Created at: April 10, 2026, 1:43 p.m.