Triple

T9752428
Position Surface form Disambiguated ID Type / Status
Subject Slim E236472 entity
Predicate fullName P16 FINISHED
Object 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.
E821099 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: Slim | Statement: [Slim, fullName, Slim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Slim
Context triple: [Slim, fullName, Slim]
  • A. Slim
    Slim is the tall, sarcastic stick insect who performs as a reluctant clown in the circus troupe in Pixar's animated film "A Bug's Life."
  • 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 nickname for Cyclops, the optic-blasting mutant leader of the X-Men in Marvel Comics.
  • E. 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.
  • 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: Slim
Triple: [Slim, fullName, Slim]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Slim
Target entity description: 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.
  • A. 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.
  • B. Slim
    Slim is a nickname for Cyclops, the optic-blasting mutant leader of the X-Men in Marvel Comics.
  • C. Slim
    Slim is a lightweight Ruby templating engine known for its minimal syntax and fast rendering performance.
  • D. Slim
    Slim is the surname of Bill Slim, a prominent British field marshal who played a key leadership role in the Burma Campaign during World War II.
  • E. 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.
  • 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_69ca84d4eddc8190996fec1417d2bae8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9facd5b881909f0569b23f308815 completed April 1, 2026, 10:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c40da67c8190b9a0193e9b04fedd completed April 5, 2026, 2:08 a.m.
NEDg Description generation batch_69d1c4c37e248190a1b10cf6d0056c02 completed April 5, 2026, 2:11 a.m.
NED2 Entity disambiguation (via description) batch_69d1c56957f8819080eca0a71c24f86a completed April 5, 2026, 2:14 a.m.
Created at: March 30, 2026, 8:24 p.m.