Triple

T3798902
Position Surface form Disambiguated ID Type / Status
Subject Of Mice and Men E91639 entity
Predicate character P662 FINISHED
Object 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.
 E388948 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: [Of Mice and Men, character, Slim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Slim
Context triple: [Of Mice and Men, character, 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. Shorty
    Shorty is a lesser-known musical act connected to the experimental rock band U.S. Maple, likely sharing its avant-garde, noise-influenced style.
  • C. Thinline
    Thinline is a slim, portable book format commonly used for Bibles that reduces bulk while retaining the full text.
  • D. Slash
    Slash is a renowned rock guitarist best known as the lead guitarist of Guns N' Roses, celebrated for his iconic riffs and top-hatted stage persona.
  • E. Bill Slim
    Bill Slim was a distinguished British field marshal best known for his leadership of the Allied forces in the Burma Campaign during World War II.
  • 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: [Of Mice and Men, character, Slim]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Slim
Target entity description: 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.
  • 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. Shorty
    Shorty is a lesser-known musical act connected to the experimental rock band U.S. Maple, likely sharing its avant-garde, noise-influenced style.
  • C. Thinline
    Thinline is a slim, portable book format commonly used for Bibles that reduces bulk while retaining the full text.
  • D. Slash
    Slash is a renowned rock guitarist best known as the lead guitarist of Guns N' Roses, celebrated for his iconic riffs and top-hatted stage persona.
  • E. Bill Slim
    Bill Slim was a distinguished British field marshal best known for his leadership of the Allied forces in the Burma Campaign during World War II.
  • 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_69aed96354f48190a768966d6bd19b04 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee7a270908190ac30537a22f3d500 completed March 9, 2026, 3:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f064471881908b52b2f64e50a83d completed March 14, 2026, 5:21 a.m.
NEDg Description generation batch_69b4f1fae7ac8190909b05c0d685e377 completed March 14, 2026, 5:28 a.m.
NED2 Entity disambiguation (via description) batch_69b4f29e5fb48190982ab2844eb8c179 completed March 14, 2026, 5:31 a.m.
Created at: March 9, 2026, 3:15 p.m.