Triple
T21423258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zork |
E528489
|
entity |
| Predicate | fictionalUniverse |
P3758
|
FINISHED |
| Object |
Quendor
Quendor is the central kingdom and primary setting of the classic Zork interactive fiction series, known for its underground empire, whimsical fantasy, and comedic adventure tone.
|
E1483006
|
NE FINISHED |
How this triple was built (4 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: Quendor | Statement: [Zork, fictionalUniverse, Quendor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quendor Context triple: [Zork, fictionalUniverse, Quendor]
-
A.
Quorndon
Quorndon is the former name of the English village now known as Quorn, located in Leicestershire.
-
B.
Torrenova
Torrenova is a coastal resort area on the island of Mallorca in Spain, known for its beaches and proximity to the nightlife of Magaluf.
-
C.
Corneria
Corneria is a prominent, Earth-like planet in the Lylat System that serves as the primary setting and central hub world in Nintendo’s Star Fox series.
-
D.
Landroval
Landroval is a mighty Great Eagle from J.R.R. Tolkien’s Middle-earth legendarium, renowned for aiding the Free Peoples in pivotal battles such as the War of the Ring.
-
E.
Arandis
Arandis is a small mining town in Namibia known primarily for its proximity to the Rossing uranium mine.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Quendor Triple: [Zork, fictionalUniverse, Quendor]
Generated description
Quendor is the central kingdom and primary setting of the classic Zork interactive fiction series, known for its underground empire, whimsical fantasy, and comedic adventure tone.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Quendor Target entity description: Quendor is the central kingdom and primary setting of the classic Zork interactive fiction series, known for its underground empire, whimsical fantasy, and comedic adventure tone.
-
A.
Quorndon
Quorndon is the former name of the English village now known as Quorn, located in Leicestershire.
-
B.
Torrenova
Torrenova is a coastal resort area on the island of Mallorca in Spain, known for its beaches and proximity to the nightlife of Magaluf.
-
C.
Corneria
Corneria is a prominent, Earth-like planet in the Lylat System that serves as the primary setting and central hub world in Nintendo’s Star Fox series.
-
D.
Landroval
Landroval is a mighty Great Eagle from J.R.R. Tolkien’s Middle-earth legendarium, renowned for aiding the Free Peoples in pivotal battles such as the War of the Ring.
-
E.
Arandis
Arandis is a small mining town in Namibia known primarily for its proximity to the Rossing uranium mine.
- F. None of above. chosen
Provenance (5 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09c2a5a6488190a753c0359d2702f3 |
completed | May 17, 2026, 1:29 p.m. |
| NEDg | Description generation | batch_6a09c31840648190bde2d313dd0f02e4 |
completed | May 17, 2026, 1:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09c361f5b481908f8c5215381a7c98 |
completed | May 17, 2026, 1:32 p.m. |
Created at: April 16, 2026, 5:48 p.m.