Triple
T2958162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Callahan |
E79981
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Drag City |
E17244
|
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: Drag City | Statement: [Bill Callahan, associatedWith, Drag City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Drag City Context triple: [Bill Callahan, associatedWith, Drag City]
-
A.
Drag City
chosen
Drag City is an independent American record label known for releasing influential indie, folk, and experimental music.
-
B.
Stone City
Stone City is an ancient walled city and historic fortification area that forms part of the old core of Nanjing, China.
-
C.
Dreamsville, U.S.A.
Dreamsville, U.S.A. was the affectionate nickname given to Dennison, Ohio, for its famously welcoming World War II railroad canteen that served millions of traveling servicemembers.
-
D.
Murder City
"Murder City" is a punk rock song by Green Day from their politically charged concept album *21st Century Breakdown*.
-
E.
Dark City
Dark City is a 1998 neo-noir science fiction film known for its atmospheric visuals, philosophical themes about memory and identity, and cult following.
- 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_69ad8b1276588190a374a0b12e0f7bdf |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad992b33e081909d22a19d5064c47d |
completed | March 8, 2026, 3:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0fc8df3f481908ba71ab72e68938e |
completed | March 11, 2026, 5:24 a.m. |
Created at: March 8, 2026, 2:57 p.m.