Triple

T16096316
Position Surface form Disambiguated ID Type / Status
Subject Cloud City E390492 entity
Predicate hasInhabitant P6481 FINISHED
Object Lobot
Lobot is a cyborg human from the Star Wars universe who serves as Lando Calrissian’s aide and computer liaison officer on Cloud City.
 E1193953 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: Lobot | Statement: [Cloud City, hasInhabitant, Lobot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lobot
Context triple: [Cloud City, hasInhabitant, Lobot]
  • A. Robo
    Robo is a drummer best known for his work with the horror punk band Misfits and later the hardcore punk band Black Flag.
  • B. Robo
    Robo is the Hindi-dubbed version and alternate title of the Indian science fiction film "Enthiran," starring Rajinikanth as a humanoid robot.
  • C. Bebot
    "Bebot" is a song by the Black Eyed Peas that blends hip hop with Filipino cultural themes and language.
  • D. Mr. Butlertron
    Mr. Butlertron is a robotic butler and educator in the animated series "Clone High," known for his polite demeanor and frequent use of the phrase "Wesley."
  • E. Lotso
    Lotso is the strawberry-scented teddy bear who serves as the main antagonist in Pixar's animated film Toy Story 3.
  • 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: Lobot
Triple: [Cloud City, hasInhabitant, Lobot]
Generated description
Lobot is a cyborg human from the Star Wars universe who serves as Lando Calrissian’s aide and computer liaison officer on Cloud City.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lobot
Target entity description: Lobot is a cyborg human from the Star Wars universe who serves as Lando Calrissian’s aide and computer liaison officer on Cloud City.
  • A. Robo
    Robo is a drummer best known for his work with the horror punk band Misfits and later the hardcore punk band Black Flag.
  • B. Robo
    Robo is the Hindi-dubbed version and alternate title of the Indian science fiction film "Enthiran," starring Rajinikanth as a humanoid robot.
  • C. Bebot
    "Bebot" is a song by the Black Eyed Peas that blends hip hop with Filipino cultural themes and language.
  • D. Mr. Butlertron
    Mr. Butlertron is a robotic butler and educator in the animated series "Clone High," known for his polite demeanor and frequent use of the phrase "Wesley."
  • E. Lotso
    Lotso is the strawberry-scented teddy bear who serves as the main antagonist in Pixar's animated film Toy Story 3.
  • 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e18593d0fc8190aa3ba3edb4219aaa completed April 17, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb991ba88190ad568a49069f9701 completed May 10, 2026, 2:21 a.m.
NEDg Description generation batch_69ffec4898088190bed531e33418c7e5 completed May 10, 2026, 2:24 a.m.
NED2 Entity disambiguation (via description) batch_69ffecce96508190a53f100e3207ebac completed May 10, 2026, 2:26 a.m.
Created at: April 10, 2026, 4:59 a.m.