Triple

T9752576
Position Surface form Disambiguated ID Type / Status
Subject Rosie E236475 entity
Predicate allies P2865 FINISHED
Object Slim
Slim is a character associated with Rosie, likely serving as a close companion or supportive ally in their shared narrative.
 E826354 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: [Rosie, allies, Slim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Slim
Context triple: [Rosie, allies, 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 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.
  • C. Slim
    Slim is a lightweight Ruby templating engine known for its minimal syntax and fast rendering performance.
  • D. 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.
  • E. Slim
    Slim is a nickname for Cyclops, the optic-blasting mutant leader of the X-Men in Marvel Comics.
  • 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: [Rosie, allies, Slim]
Generated description
Slim is a character associated with Rosie, likely serving as a close companion or supportive ally in their shared narrative.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Slim
Target entity description: Slim is a character associated with Rosie, likely serving as a close companion or supportive ally in their shared narrative.
  • 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 given name or nickname commonly used for people with a slender build or as a casual moniker in various English-speaking cultures.
  • C. Slim
    Slim is a nickname for Cyclops, the optic-blasting mutant leader of the X-Men in Marvel Comics.
  • D. 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.
  • E. Slim
    Slim is a lightweight Ruby templating engine known for its minimal syntax and fast rendering performance.
  • 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_69cd9fae332c8190b11f0258b5a5ae2b completed April 1, 2026, 10:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1e3ff403c8190892400c6d3257087 completed April 5, 2026, 4:24 a.m.
NEDg Description generation batch_69d1e564b6b48190b7345146a4023efb completed April 5, 2026, 4:30 a.m.
NED2 Entity disambiguation (via description) batch_69d1e5bfe354819093ceac9202917879 completed April 5, 2026, 4:32 a.m.
Created at: March 30, 2026, 8:24 p.m.