Triple
T21423660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brian Moriarty |
E528498
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Beyond Zork |
—
|
NE NERFINISHED |
How this triple was built (3 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: Beyond Zork | Statement: [Brian Moriarty, notableWork, Beyond Zork]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beyond Zork Context triple: [Brian Moriarty, notableWork, Beyond Zork]
-
A.
Return to Zork
Return to Zork is a 1993 graphic adventure game that revived the classic Zork series with point-and-click gameplay, full-motion video, and voice acting.
-
B.
Zork Nemesis: The Forbidden Lands
Zork Nemesis: The Forbidden Lands is a dark, first-person point-and-click adventure game set in the Zork universe, known for its mature tone, intricate puzzles, and richly atmospheric pre-rendered environments.
-
C.
Zork: Grand Inquisitor
Zork: Grand Inquisitor is a 1997 comedic fantasy graphic adventure game that revitalizes the classic Zork series with full-motion video, puzzle-solving, and a satirical take on a magic-prohibiting regime.
-
D.
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.
-
E.
The Lost Treasures of Infocom
The Lost Treasures of Infocom is a compilation collection of classic Infocom interactive fiction games released for modern platforms.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beyond Zork Target entity description: Beyond Zork is an interactive fiction role-playing game by Infocom that blends text adventure storytelling with RPG-style character development and mechanics.
-
A.
Return to Zork
Return to Zork is a 1993 graphic adventure game that revived the classic Zork series with point-and-click gameplay, full-motion video, and voice acting.
-
B.
Zork Nemesis: The Forbidden Lands
Zork Nemesis: The Forbidden Lands is a dark, first-person point-and-click adventure game set in the Zork universe, known for its mature tone, intricate puzzles, and richly atmospheric pre-rendered environments.
-
C.
Zork: Grand Inquisitor
Zork: Grand Inquisitor is a 1997 comedic fantasy graphic adventure game that revitalizes the classic Zork series with full-motion video, puzzle-solving, and a satirical take on a magic-prohibiting regime.
-
D.
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.
-
E.
The Lost Treasures of Infocom
The Lost Treasures of Infocom is a compilation collection of classic Infocom interactive fiction games released for modern platforms.
- F. None of above. chosen
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.