Triple

T10138684
Position Surface form Disambiguated ID Type / Status
Subject Dyskolos E226924 entity
Predicate mainCharacter P1183 FINISHED
Object Getas
Getas is the central figure in Menander’s ancient Greek comedy "Dyskolos," around whom the play’s plot and character interactions revolve.
 E843373 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: Getas | Statement: [Dyskolos, mainCharacter, Getas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Getas
Context triple: [Dyskolos, mainCharacter, Getas]
  • A. Iras
    Iras is a loyal attendant and companion to Cleopatra in Shakespeare’s tragedy "Antony and Cleopatra."
  • B. Agenais
    Agenais refers to the inhabitants or natives of Agen, a historic town in southwestern France.
  • C. Danius
    Danius is a Swedish surname most notably borne by Sara Danius, a prominent literary scholar and former permanent secretary of the Swedish Academy.
  • D. Simas
    Simas is a surname most notably associated with David Simas, an American lawyer and former political advisor who served in the Obama administration.
  • E. Linas
    Linas is a commune in the southern suburbs of Paris, located in the Essonne department of the Île-de-France region in northern France.
  • 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: Getas
Triple: [Dyskolos, mainCharacter, Getas]
Generated description
Getas is the central figure in Menander’s ancient Greek comedy "Dyskolos," around whom the play’s plot and character interactions revolve.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Getas
Target entity description: Getas is the central figure in Menander’s ancient Greek comedy "Dyskolos," around whom the play’s plot and character interactions revolve.
  • A. Iras
    Iras is a loyal attendant and companion to Cleopatra in Shakespeare’s tragedy "Antony and Cleopatra."
  • B. Agenais
    Agenais refers to the inhabitants or natives of Agen, a historic town in southwestern France.
  • C. Danius
    Danius is a Swedish surname most notably borne by Sara Danius, a prominent literary scholar and former permanent secretary of the Swedish Academy.
  • D. Simas
    Simas is a surname most notably associated with David Simas, an American lawyer and former political advisor who served in the Obama administration.
  • E. Linas
    Linas is a commune in the southern suburbs of Paris, located in the Essonne department of the Île-de-France region in northern France.
  • 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_69ca8433ec308190b8b25a6fe359c34c completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cde88344a481909ee833451fab6e58 completed April 2, 2026, 3:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e5ee7b6081909f5c08583a619308 completed April 5, 2026, 10:45 p.m.
NEDg Description generation batch_69d2e73e4d5081909f0068d3bed583d3 completed April 5, 2026, 10:50 p.m.
NED2 Entity disambiguation (via description) batch_69d2e7eea4d88190a2ec6d22a83934b3 completed April 5, 2026, 10:53 p.m.
Created at: March 30, 2026, 9:06 p.m.