Triple
T20262736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duffy (fictional detective) |
E498884
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object | Fiddle City |
—
|
NE NERFINISHED |
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: Fiddle City | Statement: [Duffy (fictional detective), appearsIn, Fiddle City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fiddle City Context triple: [Duffy (fictional detective), appearsIn, Fiddle City]
-
A.
Fiddle City
chosen
Fiddle City is a crime novel by Dan Kavanagh, the pseudonym of British author Julian Barnes, featuring the quirky private detective Duffy.
-
B.
Bo town
Bo town is the administrative and economic center of Kim Bôi District in Hòa Bình Province, Vietnam.
-
C.
Lumber City
Lumber City is the historic nickname of North Tonawanda, New York, reflecting its past prominence as a major center of the lumber industry.
-
D.
Lumber City
Lumber City is a small rural town in south-central Georgia, United States, known historically for its timber industry and location near the confluence of the Ocmulgee and Oconee rivers.
-
E.
Music City, Maryland
Music City, Maryland is a nickname for Catonsville, a Maryland community known for its vibrant local music scene and numerous music-related businesses and events.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e674cba2748190a886ecd8316dc518 |
completed | April 20, 2026, 6:47 p.m. |
Created at: April 11, 2026, 11:41 p.m.