Triple

T11476716
Position Surface form Disambiguated ID Type / Status
Subject Copa América E272040 entity
Predicate awards P11 FINISHED
Object Golden Ball E23485 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: Golden Ball | Statement: [Copa América, awards, Golden Ball]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Golden Ball
Context triple: [Copa América, awards, Golden Ball]
  • A. Golden Ball chosen
    The Golden Ball is the award presented to the best player of the FIFA Club World Cup tournament.
  • B. It Pays to be a Winner
    "It Pays to be a Winner" is a motivational slogan used within the Navy SEALs community to emphasize relentless effort, competition, and the tangible rewards of superior performance.
  • C. Winner's Circle
    Winner's Circle is the high-stakes final round of the game show "The $100,000 Pyramid," where contestants attempt to guess categories to win the top prize.
  • D. Silverball
    Silverball is a 2015 studio album by Canadian rock band Barenaked Ladies that blends their signature melodic pop-rock with reflective, nostalgic themes.
  • E. One for the Money
    One for the Money is a 2012 crime-comedy film adaptation of Janet Evanovich’s novel, following amateur bounty hunter Stephanie Plum as she tracks down a former flame who is now a wanted cop.
  • 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8294e0fe08190b018e840146e27ca completed April 9, 2026, 10:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e965eebc8190822247b1abc13483 completed April 20, 2026, 8:52 a.m.
Created at: April 8, 2026, 9:36 p.m.