Triple

T9228102
Position Surface form Disambiguated ID Type / Status
Subject Colin Kroll E221739 entity
Predicate employer P7 FINISHED
Object HQ Trivia E785095 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: HQ Trivia | Statement: [Colin Kroll, employer, HQ Trivia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HQ Trivia
Context triple: [Colin Kroll, employer, HQ Trivia]
  • A. HQ Trivia chosen
    HQ Trivia was a popular live mobile trivia game show app that let players compete in real time for cash prizes.
  • B. ESGG
    ESGG is the ICAO airport code for Gothenburg Landvetter Airport, the main international airport serving the Gothenburg region in Sweden.
  • C. The Quiz Broadcast
    The Quiz Broadcast is a surreal, post-apocalyptic game show sketch from the British comedy duo Mitchell and Webb, known for its absurd rules and catchphrase “Remain Indoors.”
  • D. Jeopardy!
    Jeopardy! is a long-running American television quiz show known for its distinctive answer-and-question format and iconic host Alex Trebek.
  • E. Quiz Show
    Quiz Show is a 1994 American historical drama film directed by Robert Redford that explores the scandal surrounding rigged television game shows in the 1950s.
  • 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_69ca83ec8db08190a9110df8232885d2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccdaa0a7608190b10d913e5e3d1b3e completed April 1, 2026, 8:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0779de5a88190b6a9266c976e05b1 completed April 4, 2026, 2:29 a.m.
Created at: March 30, 2026, 7:28 p.m.