Triple
T22935858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roger Zelazny |
E569580
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Roadmarks
Roadmarks is a science fantasy novel by Roger Zelazny that follows travelers on a time-traversing highway connecting all of history and alternate realities.
|
E1561661
|
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: Roadmarks | Statement: [Roger Zelazny, notableWork, Roadmarks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roadmarks Context triple: [Roger Zelazny, notableWork, Roadmarks]
-
A.
Beacons
The Beacons is the nickname for the athletic teams representing Valparaiso University in collegiate sports.
-
B.
Beacons
The Beacons are the athletic teams representing the University of Massachusetts Boston in intercollegiate sports.
-
C.
Shining Wall
Shining Wall is the famously sheer and challenging west face of Gasherbrum IV, renowned among mountaineers for its extreme difficulty and dramatic appearance.
-
D.
Wayside
Wayside is a small rural community located within the township of Drummond/North Elmsley in eastern Ontario, Canada.
-
E.
The Crossroads
The Crossroads is the nickname of Victoria, Texas, reflecting its role as a regional hub located near the geographic center of several major Texas cities.
- 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: Roadmarks Triple: [Roger Zelazny, notableWork, Roadmarks]
Generated description
Roadmarks is a science fantasy novel by Roger Zelazny that follows travelers on a time-traversing highway connecting all of history and alternate realities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Roadmarks Target entity description: Roadmarks is a science fantasy novel by Roger Zelazny that follows travelers on a time-traversing highway connecting all of history and alternate realities.
-
A.
Beacons
The Beacons is the nickname for the athletic teams representing Valparaiso University in collegiate sports.
-
B.
Beacons
The Beacons are the athletic teams representing the University of Massachusetts Boston in intercollegiate sports.
-
C.
Shining Wall
Shining Wall is the famously sheer and challenging west face of Gasherbrum IV, renowned among mountaineers for its extreme difficulty and dramatic appearance.
-
D.
Wayside
Wayside is a small rural community located within the township of Drummond/North Elmsley in eastern Ontario, Canada.
-
E.
The Crossroads
The Crossroads is the nickname of Victoria, Texas, reflecting its role as a regional hub located near the geographic center of several major Texas cities.
- 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_69e24590862c8190858f180ad302adab |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181350c7881908a72dc7a30e1aaff |
completed | April 29, 2026, 3:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bc250aaa88190bd4d516e31012882 |
completed | May 19, 2026, 1:52 a.m. |
| NEDg | Description generation | batch_6a0bc30a16408190ba27d804c7a4933e |
completed | May 19, 2026, 1:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bc39e4c00819083a5c7bc3c9c1526 |
completed | May 19, 2026, 1:57 a.m. |
Created at: April 17, 2026, 3:44 p.m.