Triple

T20177803
Position Surface form Disambiguated ID Type / Status
Subject Dickhouse Productions E492645 entity
Predicate hasSpinOff P7226 FINISHED
Object Nitro Circus NE NERFINISHED

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: Nitro Circus | Statement: [Dickhouse Productions, hasSpinOff, Nitro Circus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nitro Circus
Context triple: [Dickhouse Productions, hasSpinOff, Nitro Circus]
  • A. Nitro Circus chosen
    Nitro Circus is an action sports entertainment brand and media franchise known for its high-adrenaline stunts, extreme sports performances, and daredevil athletes led by Travis Pastrana.
  • B. Monster Nitro
    Monster Nitro is a carbonated energy drink variant from Monster Energy known for its smooth, nitrogen-infused texture and high caffeine content.
  • C. Nitro
    Nitro is a high-speed steel hypercoaster at Six Flags Great Adventure known for its towering drops, smooth airtime hills, and open-air seating.
  • D. Nitro
    Nitro is the internal codename used by Nintendo for the development and hardware platform of the Nintendo DS handheld game system.
  • E. Nitro
    Nitro is Acer’s gaming-focused product line known for offering budget-friendly laptops, desktops, and monitors designed for mainstream gamers.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e668ec4d7c81909fa4bdc58ed54aeb completed April 20, 2026, 5:57 p.m.
Created at: April 11, 2026, 11:36 p.m.