Triple
T1202719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Have One on Me |
E25818
|
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: [Have One on Me, recordLabel, Drag City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Drag City Context triple: [Have One on Me, 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.
Murder City
"Murder City" is a punk rock song by Green Day from their politically charged concept album *21st Century Breakdown*.
-
C.
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.
-
D.
Silk City
Silk City is a historic nickname for Paterson, New Jersey, reflecting its past prominence as a major center of silk production in the United States.
-
E.
Living for the City
"Living for the City" is a socially conscious 1973 soul song by Stevie Wonder that powerfully depicts systemic racism and urban struggle through vivid storytelling and innovative production.
- 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_69a4942b30f08190a91c60573e16b5ef |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bdbda0b081909c0147121a945e27 |
completed | March 1, 2026, 10:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac7f3a48d48190ae5179312b52b3ee |
completed | March 7, 2026, 7:40 p.m. |
Created at: March 1, 2026, 7:46 p.m.