Triple

T11467800
Position Surface form Disambiguated ID Type / Status
Subject Indiana Hoosiers men's swimming team E271820 entity
Predicate producedNCAAChampion P99439 FINISHED
Object Zach Apple E929615 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: Zach Apple | Statement: [Indiana Hoosiers men's swimming team, producedNCAAChampion, Zach Apple]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zach Apple
Context triple: [Indiana Hoosiers men's swimming team, producedNCAAChampion, Zach Apple]
  • A. Zach Apple chosen
    Zach Apple is an American freestyle swimmer and Olympic gold medalist who competed for the United States at the Tokyo 2020 Games.
  • B. Zach Hanson
    Zach Hanson is an American musician best known as the youngest member and drummer of the pop-rock band Hanson.
  • C. Zach Cherry
    Zach Cherry is an American actor and comedian known for his supporting roles in television series such as "Severance" and various film and sketch comedy projects.
  • D. Zach Appelman
    Zach Appelman is an American actor known for his work in television, film, and theater, including a notable role in the supernatural drama series "Sleepy Hollow."
  • E. Zach Mills
    Zach Mills is an American actor best known for his role in the science fiction film "Super 8" and other family-oriented movies and television projects.
  • 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85ddffdf88190a00e94ad5b8b91a5 completed April 10, 2026, 2:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69e684f59e2481909e96129e28c961ea completed April 20, 2026, 7:56 p.m.
Created at: April 8, 2026, 9:35 p.m.