Triple

T7699765
Position Surface form Disambiguated ID Type / Status
Subject Sylvia Fowles E174459 entity
Predicate playedFor P2170 FINISHED
Object Chicago Sky E66017 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: Chicago Sky | Statement: [Sylvia Fowles, playedFor, Chicago Sky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chicago Sky
Context triple: [Sylvia Fowles, playedFor, Chicago Sky]
  • A. Chicago Sky chosen
    The Chicago Sky are a professional women's basketball team based in Chicago that competes in the WNBA and has featured star players such as Elena Delle Donne.
  • B. New York Skyliners
    The New York Skyliners were a short-lived professional American football team that played home games at Shea Stadium in New York City during the 1960s.
  • C. Oklahoma City Blue
    Oklahoma City Blue is an NBA G League basketball team that serves as the developmental affiliate of the Oklahoma City Thunder.
  • D. Chicago Stags
    The Chicago Stags were a professional basketball team based in Chicago that competed in the late 1940s and early NBA era before folding in 1950.
  • E. Fort Wayne Mad Ants
    The Fort Wayne Mad Ants are a professional basketball team in the NBA G League based in Fort Wayne, Indiana.
  • 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_69c6995a72cc8190998e56daa6f8e453 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7026ba7b48190a18f1c1cbbf1b944 completed March 27, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8acb7d48c81908beceeb817857211 completed March 29, 2026, 4:38 a.m.
Created at: March 27, 2026, 4:03 p.m.