Triple

T5810697
Position Surface form Disambiguated ID Type / Status
Subject Cyclops E128859 entity
Predicate aliases P39 FINISHED
Object Slim
Slim is a nickname for Cyclops, the optic-blasting mutant leader of the X-Men in Marvel Comics.
 E548063 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: [Cyclops, aliases, Slim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Slim
Context triple: [Cyclops, aliases, 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 Japanese lunar lander mission developed by JAXA to demonstrate high-precision, lightweight Moon-landing technology.
  • 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: [Cyclops, aliases, Slim]
Generated description
Slim is a nickname for Cyclops, the optic-blasting mutant leader of the X-Men in Marvel Comics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Slim
Target entity description: Slim is a nickname for Cyclops, the optic-blasting mutant leader of the X-Men in Marvel Comics.
  • 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 Japanese lunar lander mission developed by JAXA to demonstrate high-precision, lightweight Moon-landing technology.
  • 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_69c0084788848190bcf71f6bc5d71597 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02b538cd08190a7dac378898059b9 completed March 22, 2026, 5:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c098416504819089356b68fabdf737 completed March 23, 2026, 1:32 a.m.
NEDg Description generation batch_69c098f465cc819088241200306bd273 completed March 23, 2026, 1:35 a.m.
NED2 Entity disambiguation (via description) batch_69c099770ca88190a91815ec055f6df8 completed March 23, 2026, 1:37 a.m.
Created at: March 22, 2026, 3:52 p.m.