Triple
T18666822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Detroit Girl |
E456351
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Detroit Girl |
—
|
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: Detroit Girl | Statement: [Detroit Girl, title, Detroit Girl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Detroit Girl Context triple: [Detroit Girl, title, Detroit Girl]
-
A.
Detroit Girl
chosen
"Detroit Girl" is a song by Ray Ray, likely reflecting themes or stories connected to the city of Detroit.
-
B.
Downriver Detroit
Downriver Detroit is a suburban industrial and residential region south of Detroit along the Detroit River, encompassing several working-class communities.
-
C.
The Spirit of Detroit
The Spirit of Detroit is an iconic bronze statue in downtown Detroit symbolizing the city's spirit, faith, and resilience.
-
D.
Streets of Old Detroit
Streets of Old Detroit is an immersive, historically themed exhibit that recreates Detroit’s streets and storefronts from earlier eras to showcase the city’s urban and cultural past.
-
E.
Bedrock Detroit
Bedrock Detroit is a real estate firm known for its large-scale investments and redevelopment projects in downtown Detroit, Michigan.
- 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_69d8d38f72b4819090a935175d9ca8af |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e556ad88b481908bd008d469e878fd |
completed | April 19, 2026, 10:26 p.m. |
Created at: April 10, 2026, 11:48 a.m.