Triple
T10821079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Girl Genius |
E255370
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Krosp
Krosp is a talking, genetically engineered cat and would-be Emperor of All Cats from the steampunk webcomic series "Girl Genius."
|
E888111
|
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: Krosp | Statement: [Girl Genius, hasCharacter, Krosp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krosp Context triple: [Girl Genius, hasCharacter, Krosp]
-
A.
Kruklanki
Kruklanki is a village in northern Poland known for its scenic lakes and forests within the Warmian-Masurian region.
-
B.
Kors
Kors is the surname of American fashion designer Michael Kors, known for his eponymous luxury brand.
-
C.
Krasker
Krasker is a surname most notably associated with Robert Krasker, an acclaimed cinematographer known for his work on classic mid-20th-century films.
-
D.
Kroft
Kroft is a surname most notably associated with American journalist and longtime 60 Minutes correspondent Steve Kroft.
-
E.
Kronan
Kronan was a 17th-century Swedish warship and one of the largest and most powerful vessels of its time, serving as the flagship of the Swedish navy before its catastrophic sinking.
- 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: Krosp Triple: [Girl Genius, hasCharacter, Krosp]
Generated description
Krosp is a talking, genetically engineered cat and would-be Emperor of All Cats from the steampunk webcomic series "Girl Genius."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Krosp Target entity description: Krosp is a talking, genetically engineered cat and would-be Emperor of All Cats from the steampunk webcomic series "Girl Genius."
-
A.
Kruklanki
Kruklanki is a village in northern Poland known for its scenic lakes and forests within the Warmian-Masurian region.
-
B.
Kors
Kors is the surname of American fashion designer Michael Kors, known for his eponymous luxury brand.
-
C.
Krasker
Krasker is a surname most notably associated with Robert Krasker, an acclaimed cinematographer known for his work on classic mid-20th-century films.
-
D.
Kroft
Kroft is a surname most notably associated with American journalist and longtime 60 Minutes correspondent Steve Kroft.
-
E.
Kronan
Kronan was a 17th-century Swedish warship and one of the largest and most powerful vessels of its time, serving as the flagship of the Swedish navy before its catastrophic sinking.
- 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_69d6aa8081448190a9324184f2bd1c26 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d73449eee88190afa52c4e6ef96baa |
completed | April 9, 2026, 5:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de8578428c8190a25d9008881d0114 |
completed | April 14, 2026, 6:20 p.m. |
| NEDg | Description generation | batch_69de8e6f3fac8190bcd1675978d6d6d7 |
completed | April 14, 2026, 6:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69de8fa679cc81909cb51035e5403ce9 |
completed | April 14, 2026, 7:04 p.m. |
Created at: April 8, 2026, 9:18 p.m.