Triple

T577069
Position Surface form Disambiguated ID Type / Status
Subject TAG Heuer E13778 entity
Predicate brandName P1500 FINISHED
Object TAG Heuer E13778 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: TAG Heuer | Statement: [TAG Heuer, brandName, TAG Heuer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TAG Heuer
Context triple: [TAG Heuer, brandName, TAG Heuer]
  • A. TAG Heuer chosen
    TAG Heuer is a Swiss luxury watchmaker renowned for its high-end mechanical and connected timepieces that blend traditional craftsmanship with modern technology.
  • B. Diesel (licensed watches)
    Diesel (licensed watches) is a fashion watch line known for its bold, oversized, and industrial-inspired designs, produced under license by Fossil Group for the Diesel lifestyle brand.
  • C. Skagen
    Skagen is a minimalist Danish-inspired watch and accessories brand known for its clean design aesthetic and modern, affordable timepieces.
  • D. Montblanc
    Montblanc is a luxury German brand renowned for its high-end writing instruments, watches, leather goods, and smartwatches.
  • E. Minerva (watch manufacturer)
    Minerva is a historic Swiss watch manufacturer renowned for its high-quality mechanical chronographs and traditional hand-finished movements.
  • 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_69a4933fa4d88190a7949cc83c08c5c1 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49b68cc808190b1ba45bdad78443d completed March 1, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5089de648819097efdaa016aa33d2 completed March 2, 2026, 3:48 a.m.
Created at: March 1, 2026, 7:33 p.m.