Triple

T3212886
Position Surface form Disambiguated ID Type / Status
Subject DSV Deepsea Challenger E67321 entity
Predicate sponsoredBy P67 FINISHED
Object Rolex E158011 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: Rolex | Statement: [DSV Deepsea Challenger, sponsoredBy, Rolex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rolex
Context triple: [DSV Deepsea Challenger, sponsoredBy, Rolex]
  • A. Rolex chosen
    Rolex is a prestigious Swiss luxury watchmaker renowned worldwide for its high-end timepieces and strong association with elite sports and motorsport events.
  • B. Longines
    Longines is a Swiss luxury watchmaker renowned for its elegant timepieces and long-standing association with equestrian sports and precision timekeeping.
  • C. TAG Heuer
    TAG Heuer is a Swiss luxury watchmaker renowned for its high-end mechanical and connected timepieces that blend traditional craftsmanship with modern technology.
  • D. Cartier
    Cartier is a renowned French luxury jewelry and watchmaker celebrated worldwide for its high-end timepieces, fine jewelry, and iconic designs.
  • E. Chopard
    Chopard is a Swiss luxury watch and jewelry manufacturer renowned for its high-end timepieces, fine jewelry, and long-standing association with prestigious events like the Cannes Film Festival.
  • 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_69ad858ac36c81909962589cd277d6e2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaabba8e481909118d9f888ddcd63 completed March 8, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69b26237211c81908cddc4e8d42e497e completed March 12, 2026, 6:50 a.m.
Created at: March 8, 2026, 3:07 p.m.