Triple

T20478885
Position Surface form Disambiguated ID Type / Status
Subject Uranian system E502397 entity
Predicate hasMoon P2034 FINISHED
Object Stephano
Stephano is an irregular, distant moon of Uranus believed to be a captured object with a dark, non-reflective surface.
 E1432589 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: Stephano | Statement: [Uranian system, hasMoon, Stephano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Stephano
Context triple: [Uranian system, hasMoon, Stephano]
  • A. Stephano
    Stephano is a comical, drunken butler in William Shakespeare’s play "The Tempest," known for his foolish schemes and slapstick antics.
  • B. Stephano
    Stephano is a false identity adopted by the villainous Count Olaf in Lemony Snicket’s "A Series of Unfortunate Events" to deceive and manipulate the Baudelaire orphans.
  • C. Alcides
    Alcides is a Venezuelan professional baseball shortstop best known for his defensive play and World Series win with the Kansas City Royals.
  • D. Timoteo
    Timoteo is a masculine given name, commonly used in Romance-language countries, derived from the biblical name Timothy.
  • E. Dionisio
    Dionisio is a masculine given name of Greek origin, derived from Dionysius and associated with the ancient Greek god Dionysus.
  • 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: Stephano
Triple: [Uranian system, hasMoon, Stephano]
Generated description
Stephano is an irregular, distant moon of Uranus believed to be a captured object with a dark, non-reflective surface.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Stephano
Target entity description: Stephano is an irregular, distant moon of Uranus believed to be a captured object with a dark, non-reflective surface.
  • A. Stephano
    Stephano is a comical, drunken butler in William Shakespeare’s play "The Tempest," known for his foolish schemes and slapstick antics.
  • B. Stephano
    Stephano is a false identity adopted by the villainous Count Olaf in Lemony Snicket’s "A Series of Unfortunate Events" to deceive and manipulate the Baudelaire orphans.
  • C. Alcides
    Alcides is a Venezuelan professional baseball shortstop best known for his defensive play and World Series win with the Kansas City Royals.
  • D. Timoteo
    Timoteo is a masculine given name, commonly used in Romance-language countries, derived from the biblical name Timothy.
  • E. Dionisio
    Dionisio is a masculine given name of Greek origin, derived from Dionysius and associated with the ancient Greek god Dionysus.
  • 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_69e0b4af32848190aea80682b44d5d6e completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69b54c8188190a71e35fab8d194a6 completed April 20, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a088b2359a88190bd1d74a298e56857 completed May 16, 2026, 3:20 p.m.
NEDg Description generation batch_6a088c3db5fc8190942a51ecd96e22fa completed May 16, 2026, 3:24 p.m.
NED2 Entity disambiguation (via description) batch_6a088cad8f6c819086c52adc846def8b completed May 16, 2026, 3:26 p.m.
Created at: April 16, 2026, 11:34 a.m.