Triple

T4736707
Position Surface form Disambiguated ID Type / Status
Subject Priam E105142 entity
Predicate spouse P13 FINISHED
Object Arisbe
Arisbe is a figure in Greek mythology known as an early wife of King Priam of Troy.
 E465466 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: Arisbe | Statement: [Priam, spouse, Arisbe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arisbe
Context triple: [Priam, spouse, Arisbe]
  • A. Alberoni
    Alberoni is an Italian surname most notably associated with Giulio Alberoni, an influential 18th-century cardinal and statesman.
  • B. Arjona
    Arjona is a Spanish-origin surname shared by various notable individuals in fields such as entertainment, sports, and the arts.
  • C. Calvero
    Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
  • D. Ibora
    Ibora was an ancient town in Pontus (in modern-day Turkey) known as the birthplace of the influential Christian monk and theologian Evagrius Ponticus.
  • E. Balzar
    Balzar is a town and agricultural center in coastal Ecuador, known for its rice and banana production within Guayas Province.
  • 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: Arisbe
Triple: [Priam, spouse, Arisbe]
Generated description
Arisbe is a figure in Greek mythology known as an early wife of King Priam of Troy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arisbe
Target entity description: Arisbe is a figure in Greek mythology known as an early wife of King Priam of Troy.
  • A. Alberoni
    Alberoni is an Italian surname most notably associated with Giulio Alberoni, an influential 18th-century cardinal and statesman.
  • B. Arjona
    Arjona is a Spanish-origin surname shared by various notable individuals in fields such as entertainment, sports, and the arts.
  • C. Calvero
    Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
  • D. Ibora
    Ibora was an ancient town in Pontus (in modern-day Turkey) known as the birthplace of the influential Christian monk and theologian Evagrius Ponticus.
  • E. Balzar
    Balzar is a town and agricultural center in coastal Ecuador, known for its rice and banana production within Guayas Province.
  • 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_69bd43ee52048190b81a4f066534ffb3 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64831c58819098758ac1f7839b3a completed March 20, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69be10b49b90819091c3ab38e976baeb completed March 21, 2026, 3:29 a.m.
NEDg Description generation batch_69be177f39a08190b56cc0ff0b696b90 completed March 21, 2026, 3:58 a.m.
NED2 Entity disambiguation (via description) batch_69be17d87ab4819085da13a4562ae03c completed March 21, 2026, 4 a.m.
Created at: March 20, 2026, 1:19 p.m.