Triple

T4386205
Position Surface form Disambiguated ID Type / Status
Subject St. Lunatics E99247 entity
Predicate associatedAct P37 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: [St. Lunatics, associatedAct, City Spud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City Spud
Context triple: [St. Lunatics, associatedAct, 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_69b3454f739481909ff6c28331f0c0b9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b352669f608190b3aa7030d8073e04 completed March 12, 2026, 11:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b650be7ac88190a8476b956e5994ec completed March 15, 2026, 6:25 a.m.
Created at: March 12, 2026, 11:19 p.m.