Triple

T15824553
Position Surface form Disambiguated ID Type / Status
Subject Wilhelm Dziambor E383702 entity
Predicate associatedWithBrand P2830 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: [Wilhelm Dziambor, associatedWithBrand, Montblanc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montblanc
Context triple: [Wilhelm Dziambor, associatedWithBrand, 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e11e5f46748190acb46cc482501307 completed April 16, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff999bba548190a39adc2d0e11c605 completed May 9, 2026, 8:31 p.m.
Created at: April 10, 2026, 4:49 a.m.