Triple
T21423183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dave Lebling |
E528486
|
entity |
| Predicate | workedOn |
P3
|
FINISHED |
| Object | Zork 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 engine | Statement: [Dave Lebling, workedOn, Zork engine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zork engine Context triple: [Dave Lebling, workedOn, Zork 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.
Blam! engine
The Blam! engine is the proprietary game engine developed by Bungie that powered the early Halo titles, enabling their large-scale environments, AI, and physics.
-
C.
Paradox Engine
Paradox Engine is a powerful artifact card from Magic: The Gathering that untaps all nonland permanents you control whenever you cast a spell, enabling highly explosive combo turns.
-
D.
Gamebryo
Gamebryo is a versatile 3D game engine widely used in the 2000s for large-scale role-playing and open-world games across multiple platforms.
-
E.
Z-machine
chosen
The Z-machine is a virtual machine designed to run Infocom's text adventure games across multiple computer platforms.
- 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.