Triple

T22452331
Position Surface form Disambiguated ID Type / Status
Subject Glenn Myernick E555024 entity
Predicate employer P7 FINISHED
Object Colorado Rapids 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: Colorado Rapids | Statement: [Glenn Myernick, employer, Colorado Rapids]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colorado Rapids
Context triple: [Glenn Myernick, employer, Colorado Rapids]
  • A. Colorado Rapids chosen
    The Colorado Rapids are a professional Major League Soccer team based in the Denver metropolitan area.
  • B. Colorado Rapids 2
    Colorado Rapids 2 is the reserve team of Major League Soccer club Colorado Rapids, competing in MLS NEXT Pro as a developmental side for young and emerging players.
  • C. Minnesota United FC
    Minnesota United FC is a professional soccer club based in Minnesota that now competes in Major League Soccer and is known for its "Loons" nickname and strong supporter culture.
  • D. St. Louis City SC
    St. Louis City SC is a professional soccer club competing in Major League Soccer and representing the city of St. Louis.
  • E. FC Dallas
    FC Dallas is a professional Major League Soccer club based in the Dallas–Fort Worth metroplex.
  • 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_69e11e5113208190ab58c6b595f9d1d0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b4c63e88190aeedc326599edd18 completed April 29, 2026, 1:13 a.m.
Created at: April 16, 2026, 8:48 p.m.