Triple
T7402956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Artistic Career of Corky |
E170792
|
entity |
| Predicate | protagonist |
P268
|
FINISHED |
| Object | Corky |
E661821
|
NE FINISHED |
How this triple was built (2 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: Corky | Statement: [The Artistic Career of Corky, protagonist, Corky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Corky Context triple: [The Artistic Career of Corky, protagonist, Corky]
-
A.
Corky
chosen
Corky is a fictional character known as the central figure in the work "The Artistic Career of Corky," around whom the story’s creative and personal developments revolve.
-
B.
Cory
Cory is a masculine given name commonly used in English-speaking countries, often as a short form of names like Corey or Cornelius.
-
C.
Bennie
Bennie is a masculine given name, often used as a diminutive of Benjamin or Bennett.
-
D.
Dum Dum Dugan
Dum Dum Dugan is a gruff, mustachioed World War II-era soldier and close ally of Nick Fury in Marvel Comics, renowned for his combat skills and leadership within elite military units.
-
E.
Gussie
Gussie is a fictional character best known as the hapless young protagonist in P. G. Wodehouse’s comic story “Extricating Young Gussie.”
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c68a6010108190925e5284de022660 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f26ea27c8190a55e0e0314b463d8 |
completed | March 27, 2026, 9:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81ed79680819087a56082e968c266 |
completed | March 28, 2026, 6:32 p.m. |
Created at: March 27, 2026, 3:10 p.m.