Triple

T7875042
Position Surface form Disambiguated ID Type / Status
Subject Athina Onassis (Tina Livanos) E182829 entity
Predicate givenName P17 FINISHED
Object Athina
Athina is the given name of Athina Onassis, the granddaughter and principal heir of Greek shipping magnate Aristotle Onassis.
 E705880 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: Athina | Statement: [Athina Onassis (Tina Livanos), givenName, Athina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Athina
Context triple: [Athina Onassis (Tina Livanos), givenName, Athina]
  • A. Athens
    Athens is Greece’s largest city and a historic center of ancient civilization, renowned as the birthplace of democracy and Western philosophy.
  • B. Athens
    Athens is a historic college town in northeastern Georgia, best known as the home of the University of Georgia and for its vibrant music and arts scene.
  • C. Athens
    Athens is a small city in northern Alabama known as the county seat of Limestone County and part of the Huntsville-Decatur metropolitan area.
  • D. Athens
    Athens is a small town in Mercer County, West Virginia, best known as the home of Concord University.
  • E. Athens
    Athens is a small rural municipality in eastern Ontario, Canada, known for its historic village character and proximity to the Thousand Islands region.
  • 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: Athina
Triple: [Athina Onassis (Tina Livanos), givenName, Athina]
Generated description
Athina is the given name of Athina Onassis, the granddaughter and principal heir of Greek shipping magnate Aristotle Onassis.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Athina
Target entity description: Athina is the given name of Athina Onassis, the granddaughter and principal heir of Greek shipping magnate Aristotle Onassis.
  • A. Athens
    Athens is a small rural municipality in eastern Ontario, Canada, known for its historic village character and proximity to the Thousand Islands region.
  • B. Athens
    Athens is Greece’s largest city and a historic center of ancient civilization, renowned as the birthplace of democracy and Western philosophy.
  • C. Athens
    Athens is a historic college town in northeastern Georgia, best known as the home of the University of Georgia and for its vibrant music and arts scene.
  • D. Athens
    Athens is a small college town in southeastern Ohio best known as the home of Ohio University and its vibrant campus-centered community.
  • E. Athens
    Athens is a small town in Mercer County, West Virginia, best known as the home of Concord University.
  • 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_69ca828a17248190b46defe758bc5ad3 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39a961188190b2f12f8fe5d66641 completed March 31, 2026, 3:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc561d31888190bae66fb009ace1a1 completed March 31, 2026, 11:17 p.m.
NEDg Description generation batch_69cc5822581481908a143376bee599ec completed March 31, 2026, 11:26 p.m.
NED2 Entity disambiguation (via description) batch_69cc58f549388190ba6c8b41c0820cd6 completed March 31, 2026, 11:29 p.m.
Created at: March 30, 2026, 4:56 p.m.