Triple

T10660424
Position Surface form Disambiguated ID Type / Status
Subject Adam Brooks E251207 entity
Predicate screenwriterOf P2831 FINISHED
Object Wimbledon E61345 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: Wimbledon | Statement: [Adam Brooks, screenwriterOf, Wimbledon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wimbledon
Context triple: [Adam Brooks, screenwriterOf, Wimbledon]
  • A. Wimbledon chosen
    Wimbledon is a district in southwest London best known for hosting the prestigious annual Wimbledon tennis championships, the oldest tennis tournament in the world.
  • B. Wombleton
    Wombleton is a small village in North Yorkshire, England, situated within the Ryedale district.
  • C. Queen’s Club, London
    Queen’s Club, London is a historic private sporting club in West Kensington best known for its prestigious grass-court tennis and real tennis facilities and for hosting major pre-Wimbledon tournaments.
  • D. National Tennis Centre
    The National Tennis Centre is a premier tennis training and competition facility located at the University of Stirling in Scotland.
  • E. Australian Open
    The Australian Open is one of tennis's four Grand Slam tournaments, held annually in Melbourne and known for its hard courts and intense summer conditions.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6e017f97c8190b22765a6f1e6719d completed April 8, 2026, 11:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69d98857ec248190bb655d36981a000a completed April 10, 2026, 11:31 p.m.
Created at: April 8, 2026, 9:07 p.m.