Triple

T17172500
Position Surface form Disambiguated ID Type / Status
Subject Slimm Calhoun E416770 entity
Predicate givenName P17 FINISHED
Object Slimm
Slimm is an American rapper best known for his work with the Dungeon Family collective and his early-2000s solo releases.
 E1253335 NE FINISHED

How this triple was built (4 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: Slimm | Statement: [Slimm Calhoun, givenName, Slimm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Slimm
Context triple: [Slimm Calhoun, givenName, Slimm]
  • A. Slim
    Slim is a character associated with Rosie, likely serving as a close companion or supportive ally in their shared narrative.
  • B. Slim
    Slim is the nickname of Ronald "Slim" Williams, the American music executive and co-founder of Cash Money Records.
  • C. Slim
    Slim is a highly respected, compassionate, and insightful mule driver on the ranch in John Steinbeck’s novel "Of Mice and Men," often serving as a moral authority among the workers.
  • D. Slim
    Slim is a given name or nickname commonly used for people with a slender build or as a casual moniker in various English-speaking cultures.
  • E. Slim
    Slim is a lightweight Ruby templating engine known for its minimal syntax and fast rendering performance.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Slimm
Triple: [Slimm Calhoun, givenName, Slimm]
Generated description
Slimm is an American rapper best known for his work with the Dungeon Family collective and his early-2000s solo releases.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Slimm
Target entity description: Slimm is an American rapper best known for his work with the Dungeon Family collective and his early-2000s solo releases.
  • A. Slim
    Slim is a highly respected, compassionate, and insightful mule driver on the ranch in John Steinbeck’s novel "Of Mice and Men," often serving as a moral authority among the workers.
  • B. Slim
    Slim is a lightweight Ruby templating engine known for its minimal syntax and fast rendering performance.
  • C. Slim
    Slim is the nickname of Slim Keith, a prominent American socialite and fashion icon of the mid-20th century known for her influence in high society and style.
  • D. Slim
    Slim is a character associated with Rosie, likely serving as a close companion or supportive ally in their shared narrative.
  • E. Slim
    Slim is the nickname of Ronald "Slim" Williams, the American music executive and co-founder of Cash Money Records.
  • F. None of above. chosen

Provenance (5 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3fc0ac22481909e992bb3a6ba36ad completed April 18, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0148415c788190a4248b097f323d03 completed May 11, 2026, 3:08 a.m.
NEDg Description generation batch_6a0148efb45081908734c785d8fb833a completed May 11, 2026, 3:11 a.m.
NED2 Entity disambiguation (via description) batch_6a01495631588190a0670ca71dee7b36 completed May 11, 2026, 3:13 a.m.
Created at: April 10, 2026, 5:37 a.m.