Triple

T7968936
Position Surface form Disambiguated ID Type / Status
Subject Arrow Development E185275 entity
Predicate successor P78 FINISHED
Object Arrow Dynamics E185277 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: Arrow Dynamics | Statement: [Arrow Development, successor, Arrow Dynamics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arrow Dynamics
Context triple: [Arrow Development, successor, Arrow Dynamics]
  • A. Arrow Development chosen
    Arrow Development was an American ride engineering and manufacturing company renowned for pioneering modern roller coasters and theme park attractions for clients like Disneyland.
  • B. Virtucon
    Virtucon is the fictional multinational conglomerate and front for Dr. Evil’s criminal organization in the Austin Powers film series.
  • C. Coktel Vision
    Coktel Vision was a French video game developer and publisher best known for its educational and adventure games in the 1980s and 1990s, including the Adibou/Adi series and Gobliiins.
  • D. Cinematronics LLC
    Cinematronics LLC is a video game development company best known for creating the classic Windows "Space Cadet" pinball game.
  • E. Point Breeze
    Point Breeze is a residential neighborhood in South Philadelphia known for its rowhouses, demographic diversity, and ongoing redevelopment and gentrification.
  • 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_69ca8297699481909b75a405f01e03af completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3bd1c9a081909759e5bf5237204e completed March 31, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0aadcc48190ae35154195099029 completed March 31, 2026, 2:56 p.m.
Created at: March 30, 2026, 5:13 p.m.