Triple
T7130885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cloudesley |
E166182
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Cloudesley |
E166182
|
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: Cloudesley | Statement: [Cloudesley, hasCharacter, Cloudesley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cloudesley Context triple: [Cloudesley, hasCharacter, Cloudesley]
-
A.
Cloudesley
chosen
Cloudesley is a lesser-known 1830 novel by William Godwin that explores themes of inheritance, identity, and moral responsibility within a Gothic-influenced narrative.
-
B.
Bluecoat
Bluecoat is the commonly used name for Operation Bluecoat, a British offensive during the Normandy campaign of World War II aimed at breaking German defenses and advancing through northern France.
-
C.
Nym
Nym is a minor, cynical follower of Falstaff in Shakespeare’s plays, known for his terse, repetitive speech and role as a comic soldier.
-
D.
Bootle
Bootle is a town in the Metropolitan Borough of Sefton in Merseyside, England, situated just north of Liverpool and historically known for its docks and industrial heritage.
-
E.
The Kaseya
The Kaseya is the commonly used nickname for Kaseya Center, a major indoor sports and entertainment arena in Miami, Florida.
- 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_69c68884a9388190af42f90d1c1a7151 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e66dc2388190bdec018f1cc6b20a |
completed | March 27, 2026, 8:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7a33eea0481909f87e0813bc35b52 |
completed | March 28, 2026, 9:45 a.m. |
Created at: March 27, 2026, 2:44 p.m.