Triple

T13352990
Position Surface form Disambiguated ID Type / Status
Subject Boston Breakers E318114 entity
Predicate notablePlayer P304 FINISHED
Object Lauren Holiday E259952 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: Lauren Holiday | Statement: [Boston Breakers, notablePlayer, Lauren Holiday]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lauren Holiday
Context triple: [Boston Breakers, notablePlayer, Lauren Holiday]
  • A. Lauren Holiday chosen
    Lauren Holiday is a retired American soccer midfielder and two-time Olympic gold medalist and World Cup champion who starred for the U.S. women’s national team and in the National Women's Soccer League.
  • B. Lauren Barber
    Lauren Barber is best known as the wife of English musician and actor Gary Kemp.
  • C. Leah Messer
    Leah Messer is an American reality television personality best known for chronicling her life as a young mother on MTV’s Teen Mom 2.
  • D. Torri Higginson
    Torri Higginson is a Canadian actress best known for her role as Dr. Elizabeth Weir on the science fiction television series Stargate Atlantis.
  • E. Lauren Dolgen
    Lauren Dolgen is a television producer best known for developing and producing MTV’s teen pregnancy reality franchise, including "16 and Pregnant" and its spin-offs.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99e8d520881908aa23c7102b72b72 completed April 11, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f754718a388190b4b85151a4694435 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:32 p.m.