Triple
T4246513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ali |
E95540
|
entity |
| Predicate | notableAssociate |
P1481
|
FINISHED |
| Object | City Spud |
E424040
|
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: City Spud | Statement: [Ali, notableAssociate, City Spud]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City Spud Context triple: [Ali, notableAssociate, City Spud]
-
A.
City Spud
chosen
City Spud is an American rapper best known as a member of the St. Lunatics crew and for his prominent feature on Nelly’s hit single “Ride wit Me.”
-
B.
Cereal City
Cereal City is a nickname for Battle Creek, Michigan, reflecting its historic role as a major center of breakfast cereal production.
-
C.
Spindle City
Spindle City is a historic industrial nickname for Lowell, Massachusetts, reflecting its prominence as a major 19th-century textile manufacturing center.
-
D.
Spanishburg
Spanishburg is a small unincorporated community located in Mercer County, West Virginia, in the United States.
-
E.
Soda City
Soda City is a popular nickname for Columbia, South Carolina, reflecting the city's historic association with the soft drink industry and its vibrant local culture.
- 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_69b3453d91548190b4d4ef8fe52aa2ac |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e9b64ac81908dc44eaae6829b50 |
completed | March 12, 2026, 11:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5d05f55f48190b671830e173ef2ba |
completed | March 14, 2026, 9:17 p.m. |
Created at: March 12, 2026, 11:05 p.m.