Triple

T9909875
Position Surface form Disambiguated ID Type / Status
Subject Nicolas Anelka E185111 entity
Predicate awardReceived P11 FINISHED
Object Premier League Golden Boot 2008–09 E550967 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: Premier League Golden Boot 2008–09 | Statement: [Nicolas Anelka, awardReceived, Premier League Golden Boot 2008–09]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Premier League Golden Boot 2008–09
Context triple: [Nicolas Anelka, awardReceived, Premier League Golden Boot 2008–09]
  • A. Premier League Golden Boot chosen
    The Premier League Golden Boot is an annual award given to the top goal scorer in a Premier League season.
  • B. UEFA Euro 2008 Golden Boot
    The UEFA Euro 2008 Golden Boot is the award given to the tournament’s top goal scorer at the 2008 UEFA European Championship.
  • C. MLS Golden Boot
    The MLS Golden Boot is Major League Soccer’s annual award given to the league’s top goal scorer in the regular season.
  • D. Golden Boot Award
    The Golden Boot Award is an international rugby league honor presented annually to the player judged to be the best in the world.
  • E. Golden Boot Award
    The Golden Boot Award is an honor recognizing significant contributions to the Western genre in film and television, often awarded to actors, directors, and other industry figures.
  • 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_69ca8296165881908ca4750701af1f29 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb51184d08190a0350f2722110811 completed April 2, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d228a405908190ad63ebd659779ed7 completed April 5, 2026, 9:17 a.m.
Created at: March 30, 2026, 8:41 p.m.