Triple

T7160374
Position Surface form Disambiguated ID Type / Status
Subject Chris Evert E166926 entity
Predicate hasFamilyName P18 FINISHED
Object Evert E166926 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: Evert | Statement: [Chris Evert, hasFamilyName, Evert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Evert
Context triple: [Chris Evert, hasFamilyName, Evert]
  • A. Evert chosen
    Evert is a given name and surname of Germanic origin, used as a variant of names like Everett.
  • B. Chris Evert
    Chris Evert is an American former world No. 1 tennis player renowned for her exceptional consistency, baseline game, and multiple Grand Slam singles titles during the 1970s and 1980s.
  • C. Joanna Roos
    Joanna Roos was an American stage, film, and television actress active in the mid-20th century.
  • D. Steffi Graf
    Steffi Graf is a German former professional tennis player widely regarded as one of the greatest in history, known for winning 22 Grand Slam singles titles and achieving a calendar-year Golden Slam in 1988.
  • E. Anna Kournikova
    Anna Kournikova is a former Russian professional tennis player and model who gained worldwide fame in the late 1990s and early 2000s for both her on-court success in doubles and her high-profile media presence.
  • 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_69c68887a5cc8190bec0ea96227164f7 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e82ce770819081dccf7ffd50c2ab completed March 27, 2026, 8:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b8fae30481909c39d68fb828a2c0 completed March 28, 2026, 11:18 a.m.
Created at: March 27, 2026, 2:47 p.m.