Triple
T21431937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aisha Hinds |
E528708
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Detroit 1-8-7 |
—
|
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 1-8-7 | Statement: [Aisha Hinds, notableWork, Detroit 1-8-7]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Detroit 1-8-7 Context triple: [Aisha Hinds, notableWork, Detroit 1-8-7]
-
A.
Detroit 1-8-7
chosen
Detroit 1-8-7 is an American police procedural television series set in Detroit that follows homicide detectives as they investigate murders in the city.
-
B.
Detroit 300
Detroit 300 was a civic organization formed to plan and promote events commemorating the 300th anniversary of the city of Detroit.
-
C.
Detroit Fury
Detroit Fury was an Arena Football League team based in the Detroit metropolitan area that competed in the early 2000s.
-
D.
The Spirit of Detroit
The Spirit of Detroit is an iconic bronze statue in downtown Detroit symbolizing the city's spirit, faith, and resilience.
-
E.
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.
- 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_69e0c455f3688190810bc96365791b0f |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b3ec70f08190b84c4f747cfb290f |
completed | April 22, 2026, 11:41 a.m. |
Created at: April 16, 2026, 5:49 p.m.