Triple

T206963
Position Surface form Disambiguated ID Type / Status
Subject Merope E4629 entity
Predicate offspring P980 FINISHED
Object Almus
Almus is a figure in Greek mythology known as a son of Merope and associated with the region of Orchomenus in Boeotia.
 E29278 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: Almus | Statement: [Merope, offspring, Almus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Almus
Context triple: [Merope, offspring, Almus]
  • A. Boyeros
    Boyeros is a municipality in Havana, Cuba, known for hosting the country’s main international gateway, José Martí International Airport.
  • B. Crescent
    Crescent is a long-distance Amtrak passenger train that runs between New York City and New Orleans, serving major cities along the U.S. East Coast and Deep South.
  • C. Barra
    Barra is a scenic island in the Outer Hebrides of Scotland, known for its rugged coastline, Gaelic culture, and the unique beach runway at Barra Airport.
  • D. Barra
    Barra is the surname of Mary Barra, the prominent American business executive and CEO of General Motors.
  • E. Alquízar
    Alquízar is a Cuban town and municipality located in the western part of the island within the province of La Habana.
  • 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: Almus
Triple: [Merope, offspring, Almus]
Generated description
Almus is a figure in Greek mythology known as a son of Merope and associated with the region of Orchomenus in Boeotia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Almus
Target entity description: Almus is a figure in Greek mythology known as a son of Merope and associated with the region of Orchomenus in Boeotia.
  • A. Boyeros
    Boyeros is a municipality in Havana, Cuba, known for hosting the country’s main international gateway, José Martí International Airport.
  • B. Crescent
    Crescent is a long-distance Amtrak passenger train that runs between New York City and New Orleans, serving major cities along the U.S. East Coast and Deep South.
  • C. Barra
    Barra is a scenic island in the Outer Hebrides of Scotland, known for its rugged coastline, Gaelic culture, and the unique beach runway at Barra Airport.
  • D. Barra
    Barra is the surname of Mary Barra, the prominent American business executive and CEO of General Motors.
  • E. Alquízar
    Alquízar is a Cuban town and municipality located in the western part of the island within the province of La Habana.
  • 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_69a25737567c81908f9c505300239181 completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a260c178ac819085eb94ccaf64b780 completed Feb. 28, 2026, 3:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69a35b636810819085f6c4e658ee578a completed Feb. 28, 2026, 9:17 p.m.
NEDg Description generation batch_69a35cd77cf881908bbde3b6bcbd5fa8 completed Feb. 28, 2026, 9:23 p.m.
NED2 Entity disambiguation (via description) batch_69a35daaf914819096033b4e95fd3317 completed Feb. 28, 2026, 9:27 p.m.
Created at: Feb. 28, 2026, 2:51 a.m.