Triple

T8111262
Position Surface form Disambiguated ID Type / Status
Subject Maya Moore E189357 entity
Predicate playedFor P2170 FINISHED
Object Minnesota Lynx E29594 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: Minnesota Lynx | Statement: [Maya Moore, playedFor, Minnesota Lynx]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minnesota Lynx
Context triple: [Maya Moore, playedFor, Minnesota Lynx]
  • A. Minnesota Lynx chosen
    The Minnesota Lynx are a professional women's basketball team in the WNBA known for their multiple championships and dominant run in the 2010s.
  • B. Washington Mystics
    The Washington Mystics are a professional women's basketball team based in Washington, D.C., competing in the WNBA.
  • C. Dallas Wings
    The Dallas Wings are a professional women's basketball team in the WNBA based in the Dallas–Fort Worth area.
  • D. Seattle Storm
    The Seattle Storm is a professional women's basketball team competing in the WNBA and based in Seattle, Washington.
  • E. Los Angeles Sparks
    The Los Angeles Sparks are a professional women's basketball team based in Los Angeles that competes in the WNBA and is known as one of the league's most successful and storied franchises.
  • 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_69ca82b9d5848190a24672775d5c5011 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb432bcb648190b5ddbcc2a3dbc9b1 completed March 31, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc942a9af881908b7ddc724755893e completed April 1, 2026, 3:42 a.m.
Created at: March 30, 2026, 5:32 p.m.