Triple

T17009004
Position Surface form Disambiguated ID Type / Status
Subject Marks & Spencer E412648 entity
Predicate coFoundedBy P3263 FINISHED
Object Michael Marks E412648 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: Michael Marks | Statement: [Marks & Spencer, coFoundedBy, Michael Marks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Marks
Context triple: [Marks & Spencer, coFoundedBy, Michael Marks]
  • A. Michael Marks chosen
    Michael Marks was a Polish-born British businessman best known as the co-founder of the major retail chain Marks & Spencer.
  • B. Larry Marks
    Larry Marks is a music producer best known for his work on Phil Ochs’ influential 1967 album "Pleasures of the Harbor."
  • C. Alvin Marks
    Alvin Marks was an American inventor known for his work on advanced energy technologies and high-efficiency lighting concepts.
  • D. Herbert H. Marks
    Herbert H. Marks was a notable individual distinguished enough in his field or public life to be recognized as a prominent bearer of the surname Marks.
  • E. Maurice Richlin
    Maurice Richlin was an American screenwriter best known for co-writing classic films such as "The Pink Panther" and "Operation Petticoat."
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d3853f548190910240a2145cc890 completed April 18, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01233134288190bbe151f257150dfb completed May 11, 2026, 12:30 a.m.
Created at: April 10, 2026, 5:33 a.m.