Triple

T1168787
Position Surface form Disambiguated ID Type / Status
Subject Cindy Parlow Cone E24862 entity
Predicate memberOfSportsTeam P330 FINISHED
Object Atlanta Beat E129019 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: Atlanta Beat | Statement: [Cindy Parlow Cone, memberOfSportsTeam, Atlanta Beat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atlanta Beat
Context triple: [Cindy Parlow Cone, memberOfSportsTeam, Atlanta Beat]
  • A. Atlanta Beat chosen
    Atlanta Beat was a professional women's soccer team that competed in the early 2000s Women's United Soccer Association (WUSA) in the United States.
  • B. Sugar Hill
    Sugar Hill is a 1993 crime drama film set in Harlem that follows two brothers navigating the dangers of the drug trade and family loyalty.
  • C. Uptown Dallas
    Uptown Dallas is a vibrant, upscale neighborhood just north of downtown Dallas known for its high-rise living, trendy restaurants, nightlife, and walkable urban atmosphere.
  • D. Southside
    "Southside" is a hip-hop track by Common featuring Kanye West, known for its soulful production and reflective lyrics.
  • E. Hotlanta
    Hotlanta is a popular nickname for Atlanta, Georgia, highlighting the city's vibrant nightlife, music scene, and warm climate.
  • 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_69a494082a7c819095004f423f294a64 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bce821b481908bc278a3fa7973f4 completed March 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac668562788190ac5f8d081a46b2ee completed March 7, 2026, 5:55 p.m.
Created at: March 1, 2026, 7:45 p.m.