Triple

T22492361
Position Surface form Disambiguated ID Type / Status
Subject Silver Boot goalscoring award E556050 entity
Predicate alsoKnownAs P39 FINISHED
Object Silver Boot 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: Silver Boot | Statement: [Silver Boot goalscoring award, alsoKnownAs, Silver Boot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silver Boot
Context triple: [Silver Boot goalscoring award, alsoKnownAs, Silver Boot]
  • A. Silver Boot chosen
    The Silver Boot is a football (soccer) award typically given to the tournament’s second-highest goal scorer, ranking just below the Golden Boot.
  • B. Silver Boot
    The Silver Boot is a trophy awarded annually to the winner of the Major League Baseball season series between the Houston Astros and the Texas Rangers.
  • C. Silver Dagger
    The Silver Dagger is a prestigious British crime fiction award historically presented by the Crime Writers' Association to recognize outstanding mystery and detective novels.
  • D. Silver Dagger
    "Silver Dagger" is a traditional American folk ballad, widely performed and recorded by various artists for its haunting melody and tragic narrative.
  • E. Silver Ball
    The Silver Ball is the award presented to the second-best overall player at the FIFA Women's World Cup tournament.
  • 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_69e11e5445bc8190b6a9481926db3355 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15cb01b3481908a9143503b75167f completed April 29, 2026, 1:19 a.m.
Created at: April 16, 2026, 8:49 p.m.