Triple
T19754520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kraken |
E474468
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Dane Parnell
Dane Parnell is a fictional character appearing in the comic series "Kraken," set in the underwater prison of Metropol.
|
E1415620
|
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: Dane Parnell | Statement: [Kraken, hasCharacter, Dane Parnell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dane Parnell Context triple: [Kraken, hasCharacter, Dane Parnell]
-
A.
Todd Parnell
Todd Parnell is an American banker, author, and academic who served as president of Drury University in Springfield, Missouri.
-
B.
Darren Morfitt
Darren Morfitt is a British actor known for his roles in television dramas and genre series, including appearances in Doctor Who.
-
C.
Dane Clark
Dane Clark was an American film and television actor known for his tough, working-class persona in numerous 1940s and 1950s Hollywood dramas and war movies.
-
D.
Darren Partington
Darren Partington is a British electronic musician best known as a member of the influential Manchester acid house and techno group 808 State.
-
E.
Luke Stoughton
Luke Stoughton was an early settler and prominent local figure after whom the city of Stoughton, Wisconsin, was named.
- 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: Dane Parnell Triple: [Kraken, hasCharacter, Dane Parnell]
Generated description
Dane Parnell is a fictional character appearing in the comic series "Kraken," set in the underwater prison of Metropol.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dane Parnell Target entity description: Dane Parnell is a fictional character appearing in the comic series "Kraken," set in the underwater prison of Metropol.
-
A.
Todd Parnell
Todd Parnell is an American banker, author, and academic who served as president of Drury University in Springfield, Missouri.
-
B.
Darren Morfitt
Darren Morfitt is a British actor known for his roles in television dramas and genre series, including appearances in Doctor Who.
-
C.
Dane Clark
Dane Clark was an American film and television actor known for his tough, working-class persona in numerous 1940s and 1950s Hollywood dramas and war movies.
-
D.
Darren Partington
Darren Partington is a British electronic musician best known as a member of the influential Manchester acid house and techno group 808 State.
-
E.
Luke Stoughton
Luke Stoughton was an early settler and prominent local figure after whom the city of Stoughton, Wisconsin, was named.
- 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_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6529dada081909c5b4d65247c6032 |
completed | April 20, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a083c5efa4c8190879fde20322590f5 |
completed | May 16, 2026, 9:43 a.m. |
| NEDg | Description generation | batch_6a083cc663d48190883c1d255ca426e9 |
completed | May 16, 2026, 9:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a083d57e2bc8190826328935e16f335 |
completed | May 16, 2026, 9:48 a.m. |
Created at: April 10, 2026, 1:48 p.m.