Triple

T19753335
Position Surface form Disambiguated ID Type / Status
Subject McClelland and Stewart E474438 entity
Predicate abbreviation P43 FINISHED
Object M&S 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: M&S | Statement: [McClelland and Stewart, abbreviation, M&S]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: M&S
Context triple: [McClelland and Stewart, abbreviation, M&S]
  • A. M&S chosen
    M&S is the commonly used abbreviation for McClelland and Stewart, a prominent Canadian publishing company known for its influential literary catalog.
  • B. Marks & Spencer
    Marks & Spencer is a major British multinational retailer known for its clothing, home goods, and food products.
  • C. Debenhams
    Debenhams was a major British department store chain offering fashion, beauty, and home goods through high-street locations and online retail.
  • D. Morrisons
    Morrisons is one of the United Kingdom’s largest supermarket chains, offering groceries and household goods through an extensive network of stores and online services.
  • E. Primark
    Primark is a major Irish-founded fast-fashion retail chain known for its low-priced clothing, accessories, and home goods, operating under the Penneys brand in Ireland and Primark elsewhere in Europe and the 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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6529cae048190b4f8e6ba409bcf8e completed April 20, 2026, 4:21 p.m.
Created at: April 10, 2026, 1:48 p.m.