Triple

T22656809
Position Surface form Disambiguated ID Type / Status
Subject Phil Mickelson E559247 entity
Predicate hasEndorsement P37962 FINISHED
Object Rolex NE NERFINISHED

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: [Phil Mickelson, hasEndorsement, Rolex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rolex
Context triple: [Phil Mickelson, hasEndorsement, 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. Patek Philippe
    Patek Philippe is a prestigious Swiss luxury watch manufacturer renowned for its high-end mechanical timepieces, technical innovation, and long-standing heritage in haute horlogerie.
  • D. Audemars Piguet
    Audemars Piguet is a prestigious Swiss luxury watch manufacturer renowned for its high-end mechanical timepieces, including the iconic Royal Oak.
  • E. Hublot
    Hublot is a Swiss luxury watchmaker known for its bold, innovative designs and fusion of traditional watchmaking with modern materials.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245489dd88190b1f674acf61c8769 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1765c62bc8190b3fcde76d6b6dfb6 completed April 29, 2026, 3:09 a.m.
Created at: April 17, 2026, 3:06 p.m.