Triple

T5995391
Position Surface form Disambiguated ID Type / Status
Subject Bill Slim E133454 entity
Predicate familyName P18 FINISHED
Object 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.
 E560432 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: [Bill Slim, familyName, Slim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Slim
Context triple: [Bill Slim, familyName, 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: [Bill Slim, familyName, Slim]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Slim
Target entity description: 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.
  • 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

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_69c00870ddbc81909880fa3864f4f38d completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04e943dcc8190a09817e8ef0e4188 completed March 22, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1086f6b5481908c573c6e533ad98a completed March 23, 2026, 9:31 a.m.
NEDg Description generation batch_69c10920720c8190bc182385d14d45ae completed March 23, 2026, 9:34 a.m.
NED2 Entity disambiguation (via description) batch_69c109ab219c8190b6155c32ae5db1b9 completed March 23, 2026, 9:36 a.m.
Created at: March 22, 2026, 4:05 p.m.