Triple

T15914870
Position Surface form Disambiguated ID Type / Status
Subject Jake Johnson E385942 entity
Predicate notableWork P4 FINISHED
Object Hoops E708638 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: Hoops | Statement: [Jake Johnson, notableWork, Hoops]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hoops
Context triple: [Jake Johnson, notableWork, Hoops]
  • A. Hoops chosen
    Hoops is a television series associated with producer and manager Michael Rotenberg.
  • B. Hoops
    Hoops is a basketball-inspired game mode in Rocket League where players score by shooting the ball into elevated hoops instead of traditional soccer goals.
  • C. The Hoops
    The Hoops is a common nickname for FC Dallas, a professional Major League Soccer club based in the Dallas–Fort Worth metroplex.
  • D. The Hoops
    The Hoops is a popular nickname for Celtic F.C., the Glasgow-based Scottish football club known for its green and white hooped shirts.
  • E. The Hoops
    The Hoops is a common nickname for Queens Park Rangers Football Club, an English professional football team based in West London.
  • 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1566216d481908dd6e3acaa26fd45 completed April 16, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb05b15e8819083b67afa52f46283 completed May 9, 2026, 10:08 p.m.
Created at: April 10, 2026, 4:52 a.m.