Triple

T4877701
Position Surface form Disambiguated ID Type / Status
Subject Omar Vizquel E109244 entity
Predicate playedForTeam P2168 FINISHED
Object Chicago White Sox E2931 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 White Sox | Statement: [Omar Vizquel, playedForTeam, Chicago White Sox]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chicago White Sox
Context triple: [Omar Vizquel, playedForTeam, Chicago White Sox]
  • A. Chicago White Sox chosen
    The Chicago White Sox are a Major League Baseball team in the American League known for their long history, South Side Chicago fan base, and three World Series championships.
  • B. Minnesota Twins
    The Minnesota Twins are a Major League Baseball franchise based in Minneapolis, known for multiple World Series titles and a long history in the American League.
  • C. Sox
    Sox is the robotic cat companion character from Pixar's animated film "Lightyear," known for his humorous and endearing support of the protagonist.
  • D. St. Louis Browns
    The St. Louis Browns were a Major League Baseball team that played in St. Louis before relocating and becoming the Baltimore Orioles.
  • E. Kansas City Royals
    The Kansas City Royals are a Major League Baseball team known for their World Series championships in 1985 and 2015.
  • 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_69bd440e9d64819083e82cf33b4d9570 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6dbd69d48190a8397d67af8f5fc8 completed March 20, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69be67ffd9e88190a2c293d16a8cbbc7 completed March 21, 2026, 9:42 a.m.
Created at: March 20, 2026, 1:27 p.m.