Triple

T5317048
Position Surface form Disambiguated ID Type / Status
Subject Claudia Black E119176 entity
Predicate hasRole P161 FINISHED
Object Aeryn Sun
Aeryn Sun is a former Peacekeeper officer turned renegade and key member of the crew in the science fiction television series "Farscape."
 E510461 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: Aeryn Sun | Statement: [Claudia Black, hasRole, Aeryn Sun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aeryn Sun
Context triple: [Claudia Black, hasRole, Aeryn Sun]
  • A. Rainelle
    Rainelle is a small town located in western Greenbrier County, West Virginia, historically tied to the lumber industry and the surrounding Appalachian region.
  • B. Éliante
    Éliante is a thoughtful and moderate young woman in Molière’s play *Le Misanthrope*, often seen as the voice of reason and a foil to the more extreme characters.
  • C. Ramonda
    Ramonda is a Marvel Comics character best known as the Queen Mother of Wakanda and the stepmother of T’Challa, the Black Panther.
  • D. Serein
    Serein is a river in central France that flows through the Burgundy region before joining the Yonne River.
  • E. Bayta Darell
    Bayta Darell is a pivotal character in Isaac Asimov's Foundation series, known for her crucial role in thwarting the Mule's conquest in "Foundation and Empire."
  • 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: Aeryn Sun
Triple: [Claudia Black, hasRole, Aeryn Sun]
Generated description
Aeryn Sun is a former Peacekeeper officer turned renegade and key member of the crew in the science fiction television series "Farscape."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aeryn Sun
Target entity description: Aeryn Sun is a former Peacekeeper officer turned renegade and key member of the crew in the science fiction television series "Farscape."
  • A. Rainelle
    Rainelle is a small town located in western Greenbrier County, West Virginia, historically tied to the lumber industry and the surrounding Appalachian region.
  • B. Éliante
    Éliante is a thoughtful and moderate young woman in Molière’s play *Le Misanthrope*, often seen as the voice of reason and a foil to the more extreme characters.
  • C. Ramonda
    Ramonda is a Marvel Comics character best known as the Queen Mother of Wakanda and the stepmother of T’Challa, the Black Panther.
  • D. Serein
    Serein is a river in central France that flows through the Burgundy region before joining the Yonne River.
  • E. Bayta Darell
    Bayta Darell is a pivotal character in Isaac Asimov's Foundation series, known for her crucial role in thwarting the Mule's conquest in "Foundation and Empire."
  • 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_69bd446b57bc8190a513d2e6c40314f3 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd854fd07c8190b4f1c3c8e618c308 completed March 20, 2026, 5:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf1111f104819094d7646dec32fad2 completed March 21, 2026, 9:43 p.m.
NEDg Description generation batch_69bf11a601c481908a8cb6ea2c04d6df completed March 21, 2026, 9:46 p.m.
NED2 Entity disambiguation (via description) batch_69bf127799208190a47580ed7b9ad550 completed March 21, 2026, 9:49 p.m.
Created at: March 20, 2026, 1:54 p.m.