Triple
T18298512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Known Space |
E438294
|
entity |
| Predicate | hasFictionalSpecies |
P15758
|
FINISHED |
| Object |
Kdatlyno
Kdatlyno are a fictional alien species from Larry Niven’s Known Space universe, noted for their blindness, sonar-based perception, and renowned tactile artistry.
|
E1316850
|
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: Kdatlyno | Statement: [Known Space, hasFictionalSpecies, Kdatlyno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kdatlyno Context triple: [Known Space, hasFictionalSpecies, Kdatlyno]
-
A.
Kbely
Kbely is a district in the northeastern part of Prague, Czech Republic, known for its residential character and the Prague Aviation Museum.
-
B.
Kudirka
Kudirka is a Lithuanian surname most notably borne by Vincas Kudirka, the author of Lithuania’s national anthem and a key figure in the Lithuanian national revival.
-
C.
Kaindy
Kaindy is a town in northern Kyrgyzstan that serves as an important urban center within the Chuy Region.
-
D.
Kaindlkees
Kaindlkees is a glacier located on the slopes of the Wiesbachhorn in the Austrian Alps.
-
E.
Daneyko
Daneyko is the surname of Ken Daneyko, a longtime New Jersey Devils defenseman and three-time Stanley Cup champion in the National Hockey League.
- 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: Kdatlyno Triple: [Known Space, hasFictionalSpecies, Kdatlyno]
Generated description
Kdatlyno are a fictional alien species from Larry Niven’s Known Space universe, noted for their blindness, sonar-based perception, and renowned tactile artistry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kdatlyno Target entity description: Kdatlyno are a fictional alien species from Larry Niven’s Known Space universe, noted for their blindness, sonar-based perception, and renowned tactile artistry.
-
A.
Kbely
Kbely is a district in the northeastern part of Prague, Czech Republic, known for its residential character and the Prague Aviation Museum.
-
B.
Kudirka
Kudirka is a Lithuanian surname most notably borne by Vincas Kudirka, the author of Lithuania’s national anthem and a key figure in the Lithuanian national revival.
-
C.
Kaindy
Kaindy is a town in northern Kyrgyzstan that serves as an important urban center within the Chuy Region.
-
D.
Kaindlkees
Kaindlkees is a glacier located on the slopes of the Wiesbachhorn in the Austrian Alps.
-
E.
Daneyko
Daneyko is the surname of Ken Daneyko, a longtime New Jersey Devils defenseman and three-time Stanley Cup champion in the National Hockey League.
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5017d96588190ac1e326803142976 |
completed | April 19, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03bb5c7e4c8190b360b15b6e6ac677 |
completed | May 12, 2026, 11:44 p.m. |
| NEDg | Description generation | batch_6a03bbfa0da481908bb0e388dcbe9913 |
completed | May 12, 2026, 11:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03bd6078b88190887a32099fc31db0 |
completed | May 12, 2026, 11:53 p.m. |
Created at: April 10, 2026, 10:35 a.m.