Triple

T14373978
Position Surface form Disambiguated ID Type / Status
Subject Great Characters Edition Winston Churchill E356426 entity
Predicate brand P1500 FINISHED
Object Montblanc E13779 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: Montblanc | Statement: [Great Characters Edition Winston Churchill, brand, Montblanc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montblanc
Context triple: [Great Characters Edition Winston Churchill, brand, Montblanc]
  • A. Montblanc chosen
    Montblanc is a luxury German brand renowned for its high-end writing instruments, watches, leather goods, and smartwatches.
  • B. Lamy
    Lamy is a French surname most prominently associated with Pascal Lamy, a former Director-General of the World Trade Organization.
  • C. Cartier
    Cartier is a renowned French luxury jewelry and watchmaker celebrated worldwide for its high-end timepieces, fine jewelry, and iconic designs.
  • D. Rotring
    Rotring is a German brand renowned for its high-precision technical drawing instruments and writing tools, including mechanical pencils and technical pens.
  • E. Johannes Faber
    Johannes Faber was a German physician, anatomist, and naturalist of the early 17th century, known for his work in Rome and his involvement with leading scientific circles of his time.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de9007184c8190aebb003cb6548cc8 completed April 14, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe249ebd3c81908d8b562845d9ceb1 completed May 8, 2026, 5:59 p.m.
Created at: April 10, 2026, 1:15 a.m.