Triple
T16331674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Bunyan |
E396570
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Bunyan |
E396570
|
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: Bunyan | Statement: [John Bunyan, familyName, Bunyan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bunyan Context triple: [John Bunyan, familyName, Bunyan]
-
A.
John Bunyan
chosen
John Bunyan was a 17th-century English Puritan preacher and writer best known for his Christian allegory "The Pilgrim's Progress."
-
B.
Bünyan
Bünyan is a town and district in central Turkey known for its traditional weaving and historical architecture within Kayseri Province.
-
C.
Casaubon
Casaubon is the introspective narrator and scholar in Umberto Eco's novel "Foucault's Pendulum," who becomes entangled in an elaborate conspiracy involving secret societies and esoteric knowledge.
-
D.
Dryden
Dryden is a small city in northwestern Ontario, Canada, known historically for its forestry and paper mill industries.
-
E.
Dryden
Dryden is a surname most famously associated with Ken Dryden, the Hall of Fame Canadian ice hockey goaltender and former politician.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2c4dfd9688190a749e48ebc055baf |
completed | April 17, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002613c0e88190b91da8eba683c864 |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:07 a.m.