Triple

T5221862
Position Surface form Disambiguated ID Type / Status
Subject Michael Bradley E117886 entity
Predicate won P1518 FINISHED
Object MLS Cup 2017 E504158 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: MLS Cup 2017 | Statement: [Michael Bradley, won, MLS Cup 2017]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MLS Cup 2017
Context triple: [Michael Bradley, won, MLS Cup 2017]
  • A. MLS Cup: 2017 chosen
    MLS Cup 2017 was the Major League Soccer championship match in which Toronto FC defeated the Seattle Sounders to secure their first league title and complete a historic domestic treble.
  • B. MLS Cup 2016
    MLS Cup 2016 was the Major League Soccer championship match for the 2016 season, notable for being the first league title secured by the Seattle Sounders FC.
  • C. MLS Cup 2018
    MLS Cup 2018 was the Major League Soccer championship match for the 2018 season, in which Atlanta United FC defeated the Portland Timbers to win their first league title.
  • D. MLS Cup 2019
    MLS Cup 2019 was the championship match of the 2019 Major League Soccer season, serving as the league’s title-deciding game.
  • E. MLS Cup 2022
    MLS Cup 2022 was the championship match of Major League Soccer’s 2022 season, determining the league’s overall champion through a postseason final.
  • 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_69bd4465e03081909bfcfd7113062590 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7aba05b48190b6a7fc52ab3532f0 completed March 20, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef8059c808190aac709a199541ce7 completed March 21, 2026, 7:56 p.m.
Created at: March 20, 2026, 1:48 p.m.