Triple

T17822738
Position Surface form Disambiguated ID Type / Status
Subject Darth Plagueis E445028 entity
Predicate realName P9233 FINISHED
Object Hego Damask
Hego Damask is the Muun Sith Lord better known as Darth Plagueis, a powerful dark side master famed for his experiments with immortality in the Star Wars universe.
E1289288 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: Hego Damask | Statement: [Darth Plagueis, realName, Hego Damask]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hego Damask
Context triple: [Darth Plagueis, realName, Hego Damask]
  • A. Jehan
    Jehan is an archaic or variant French form of the given name Jean, historically used in medieval and early modern texts.
  • B. Sahnun
    Sahnun was a prominent 9th-century Islamic jurist from North Africa whose compilation of legal opinions, the Mudawwana, became a foundational text of the Maliki school of Sunni jurisprudence.
  • C. Shabuhr
    Shabuhr is the Middle Persian form of the name of Shapur I, a prominent Sasanian king of the 3rd century.
  • D. Munise
    Munise is a character from the classic Turkish novel "Çalıkuşu," playing a significant role in the emotional and familial life of the protagonist, Feride.
  • E. Diyâr Bekr
    Diyâr Bekr is a historical name used in the medieval Islamic world for the region around the city of Diyarbakır in southeastern Anatolia.
  • 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: Hego Damask
Triple: [Darth Plagueis, realName, Hego Damask]
Generated description
Hego Damask is the Muun Sith Lord better known as Darth Plagueis, a powerful dark side master famed for his experiments with immortality in the Star Wars universe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hego Damask
Target entity description: Hego Damask is the Muun Sith Lord better known as Darth Plagueis, a powerful dark side master famed for his experiments with immortality in the Star Wars universe.
  • A. Jehan
    Jehan is an archaic or variant French form of the given name Jean, historically used in medieval and early modern texts.
  • B. Sahnun
    Sahnun was a prominent 9th-century Islamic jurist from North Africa whose compilation of legal opinions, the Mudawwana, became a foundational text of the Maliki school of Sunni jurisprudence.
  • C. Shabuhr
    Shabuhr is the Middle Persian form of the name of Shapur I, a prominent Sasanian king of the 3rd century.
  • D. Munise
    Munise is a character from the classic Turkish novel "Çalıkuşu," playing a significant role in the emotional and familial life of the protagonist, Feride.
  • E. Diyâr Bekr
    Diyâr Bekr is a historical name used in the medieval Islamic world for the region around the city of Diyarbakır in southeastern Anatolia.
  • 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4891282a081908d384d45bf444baf completed April 19, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02ff69f02c81908a7b6b8b564cceec completed May 12, 2026, 10:22 a.m.
NEDg Description generation batch_6a03000abe908190a4f4835f348aa544 completed May 12, 2026, 10:25 a.m.
NED2 Entity disambiguation (via description) batch_6a0300e885e481909c76dfbac2fd1009 completed May 12, 2026, 10:28 a.m.
Created at: April 10, 2026, 10:15 a.m.