Triple

T21423134
Position Surface form Disambiguated ID Type / Status
Subject Marc Blank E528485 entity
Predicate developed P73 FINISHED
Object Zork game engine 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: Zork game engine | Statement: [Marc Blank, developed, Zork game engine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zork game engine
Context triple: [Marc Blank, developed, Zork game engine]
  • A. Zork
    Zork is a pioneering text-based adventure video game series known for its rich interactive fiction, challenging puzzles, and influential role in early computer gaming.
  • B. Z-machine chosen
    The Z-machine is a virtual machine designed to run Infocom's text adventure games across multiple computer platforms.
  • C. Colossal Cave Adventure
    Colossal Cave Adventure is a pioneering 1970s text-based adventure game that laid the foundation for interactive fiction and adventure gaming.
  • D. SCUMM
    SCUMM is a scripting engine and game development system created by LucasArts that powered many of its classic point-and-click adventure games.
  • E. Zmacs
    Zmacs is an Emacs-like text editor developed for the Lisp Machine environment, known for its tight integration with the ZWEI editor framework and advanced Lisp programmability.
  • 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_69e0c455f3688190810bc96365791b0f completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee8139ce848190b812d6d07f1bdef8 completed April 26, 2026, 9:18 p.m.
Created at: April 16, 2026, 5:48 p.m.