Triple
T16310601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Final Space |
E396043
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
KVN
KVN is the annoyingly cheerful and often incompetent robot companion in the animated sci-fi series "Final Space."
|
E1206340
|
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: KVN | Statement: [Final Space, mainCharacter, KVN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KVN Context triple: [Final Space, mainCharacter, KVN]
-
A.
Petrovskiy
Petrovskiy is a Slavic surname derived from the given name Petro, commonly indicating familial or ancestral association with someone named Petro.
-
B.
Knv
Knv is the station code for Knivsta railway station in Sweden.
-
C.
Ershevka
Ershevka is a rural locality in Kaluga Oblast, Russia.
-
D.
Zvezdochka
Zvezdochka is a major Russian shipyard and naval repair facility located in Severodvinsk, known especially for servicing and modernizing submarines.
-
E.
Boryslav Laughs
Boryslav Laughs is a social and psychological novel by Ukrainian writer Ivan Franko that portrays the harsh lives of oil field workers and critiques capitalist exploitation in the Boryslav region.
- 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: KVN Triple: [Final Space, mainCharacter, KVN]
Generated description
KVN is the annoyingly cheerful and often incompetent robot companion in the animated sci-fi series "Final Space."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KVN Target entity description: KVN is the annoyingly cheerful and often incompetent robot companion in the animated sci-fi series "Final Space."
-
A.
Petrovskiy
Petrovskiy is a Slavic surname derived from the given name Petro, commonly indicating familial or ancestral association with someone named Petro.
-
B.
Knv
Knv is the station code for Knivsta railway station in Sweden.
-
C.
Ershevka
Ershevka is a rural locality in Kaluga Oblast, Russia.
-
D.
Zvezdochka
Zvezdochka is a major Russian shipyard and naval repair facility located in Severodvinsk, known especially for servicing and modernizing submarines.
-
E.
Boryslav Laughs
Boryslav Laughs is a social and psychological novel by Ukrainian writer Ivan Franko that portrays the harsh lives of oil field workers and critiques capitalist exploitation in the Boryslav region.
- 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e288da27f88190aa241e3addf9cd7f |
completed | April 17, 2026, 7:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001fa6ceb48190b937a15b94fd3cfa |
completed | May 10, 2026, 6:03 a.m. |
| NEDg | Description generation | batch_6a00219696dc8190bcce66c1eeb07561 |
completed | May 10, 2026, 6:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a002221fe7c819083c8ede5e63b0908 |
completed | May 10, 2026, 6:13 a.m. |
Created at: April 10, 2026, 5:06 a.m.