Triple

T20478888
Position Surface form Disambiguated ID Type / Status
Subject Uranian system E502397 entity
Predicate hasMoon P2034 FINISHED
Object Margaret
Margaret is one of the small, irregular outer moons of Uranus, notable for its distant, inclined orbit around the planet.
E1432590 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: Margaret | Statement: [Uranian system, hasMoon, Margaret]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margaret
Context triple: [Uranian system, hasMoon, Margaret]
  • A. Margaret
    Margaret is a feminine given name of Greek origin, traditionally associated with the meaning "pearl" and widely used in English-speaking countries.
  • B. Margaret
    Margaret is a 2011 American drama film written and directed by Kenneth Lonergan, known for its complex portrayal of grief and moral responsibility following a tragic bus accident in New York City.
  • C. Margaret
    Margaret is a central character in the Australian television drama series "The Newsreader," which follows the turbulent personal and professional lives of broadcast journalists in the 1980s.
  • D. Margaret
    Margaret is a character who appears in the animated television series "Exit 9B" from the show "Regular Show."
  • E. Margaret
    Margaret is a fictional character from the DC Comics universe, associated with the supervillain team known as the Rogues.
  • 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: Margaret
Triple: [Uranian system, hasMoon, Margaret]
Generated description
Margaret is one of the small, irregular outer moons of Uranus, notable for its distant, inclined orbit around the planet.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Margaret
Target entity description: Margaret is one of the small, irregular outer moons of Uranus, notable for its distant, inclined orbit around the planet.
  • A. Margaret
    Margaret is a character who appears in the animated television series "Exit 9B" from the show "Regular Show."
  • B. Margaret
    Margaret is a witty and flirtatious gentlewoman in Shakespeare’s comedy "Much Ado About Nothing," whose unwitting involvement in a deception helps drive the play’s central conflict.
  • C. Margaret
    Margaret is a fictional character from the DC Comics universe, associated with the supervillain team known as the Rogues.
  • D. Margaret
    Margaret is a feminine given name of Greek origin, traditionally associated with the meaning "pearl" and widely used in English-speaking countries.
  • E. Margaret
    Margaret is a central female character in Eugene O’Neill’s play "The Great God Brown," embodying themes of love, identity, and disillusionment.
  • 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.