Triple

T15200757
Position Surface form Disambiguated ID Type / Status
Subject Denis Shapovalov E363260 entity
Predicate coach P2169 FINISHED
Object Tessa Shapovalova E1144220 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: Tessa Shapovalova | Statement: [Denis Shapovalov, coach, Tessa Shapovalova]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tessa Shapovalova
Context triple: [Denis Shapovalov, coach, Tessa Shapovalova]
  • A. Tessa Shapovalova chosen
    Tessa Shapovalova is a former professional tennis player and coach best known as the mother and early coach of Canadian tennis star Denis Shapovalov.
  • B. Serhiy Ostapenko
    Serhiy Ostapenko was a Ukrainian politician who briefly served as head of government of the Ukrainian People's Republic during its struggle for independence after World War I.
  • C. Sasha Schreiber
    Sasha Schreiber is the son of actors Naomi Watts and Liev Schreiber.
  • D. Kayla Pospisil
    Kayla Pospisil is a fictional Fox News employee portrayed by Margot Robbie in the 2019 film "Bombshell," representing a composite character who experiences and exposes workplace sexual harassment.
  • E. Maria Navarro
    Maria Navarro is a personal name that may refer to various individuals, including professionals, artists, or public figures, depending on context.
  • 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e006b588b88190a88e91d521acbdfe completed April 15, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd2dc6f08190a8f1612ac29a8654 completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 3:10 a.m.