Triple

T4613166
Position Surface form Disambiguated ID Type / Status
Subject Roger Federer E100804 entity
Predicate sponsor 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: [Roger Federer, sponsor, Rolex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rolex
Context triple: [Roger Federer, sponsor, 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. Hublot
    Hublot is a Swiss luxury watchmaker known for its bold, innovative designs and fusion of traditional watchmaking with modern materials.
  • D. Baume & Mercier
    Baume & Mercier is a Swiss luxury watchmaking brand known for its elegant, classic timepieces and long horological heritage.
  • E. Vacheron Constantin
    Vacheron Constantin is a prestigious Swiss luxury watch manufacturer renowned for its high-end mechanical timepieces and status as one of the oldest continuously operating watchmakers in the world.
  • 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_69bd43cf363c819087fd5ab441b4a3f4 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd59c11f5481909f61e23503711cf5 completed March 20, 2026, 2:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa895b7481909e54cfa56a54c8dc completed March 21, 2026, 1:55 a.m.
Created at: March 20, 2026, 1:12 p.m.