Triple
T3495029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faun Fables |
E73829
|
entity |
| Predicate | recordLabel |
P1500
|
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: [Faun Fables, recordLabel, Drag City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Drag City Context triple: [Faun Fables, recordLabel, Drag City]
-
A.
Drag City
chosen
Drag City is an independent American record label known for releasing influential indie, folk, and experimental music.
-
B.
Drag City Records
Drag City Records is an independent American record label known for releasing influential underground and experimental music across genres like indie rock, folk, and avant-garde.
-
C.
Stone City
Stone City is an ancient walled city and historic fortification area that forms part of the old core of Nanjing, China.
-
D.
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.
-
E.
Murder City
"Murder City" is a punk rock song by Green Day from their politically charged concept album *21st Century Breakdown*.
- 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_69ad85cdb6e48190a335d412b9194ed8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbaebed881909d9cbc9c4c1f138f |
completed | March 8, 2026, 6:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38bbf19808190b42c9feddc2a1030 |
completed | March 13, 2026, 3:59 a.m. |
Created at: March 8, 2026, 3:18 p.m.