Triple

T12590
Position Surface form Disambiguated ID Type / Status
Subject Eleni Kounalakis E253 entity
Predicate parent P120 FINISHED
Object Angelo Tsakopoulos
Angelo Tsakopoulos is a prominent Greek-American real estate developer and political donor based in California.
E5016 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: Angelo Tsakopoulos | Statement: [Eleni Kounalakis, parent, Angelo Tsakopoulos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Angelo Tsakopoulos
Context triple: [Eleni Kounalakis, parent, Angelo Tsakopoulos]
  • A. Eleni Kounalakis
    Eleni Kounalakis is an American politician and former U.S. ambassador who serves as the lieutenant governor of California.
  • B. Kato Svanidze
    Kato Svanidze was the first wife of Joseph Stalin, remembered primarily for her early death and its profound emotional impact on him.
  • C. John V. L. Hogan
    John V. L. Hogan was an American radio engineer and pioneer in early radio technology and broadcasting.
  • D. Detlev W. Bronk
    Detlev W. Bronk was an influential American scientist and educator known as a pioneer of biophysics and a prominent leader in national science policy.
  • E. Tony James
    Tony James is an American financier and executive best known as the longtime president and chief operating officer of Blackstone and for his leadership roles at major cultural institutions.
  • 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: Angelo Tsakopoulos
Triple: [Eleni Kounalakis, parent, Angelo Tsakopoulos]
Generated description
Angelo Tsakopoulos is a prominent Greek-American real estate developer and political donor based in California.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Angelo Tsakopoulos
Target entity description: Angelo Tsakopoulos is a prominent Greek-American real estate developer and political donor based in California.
  • A. Eleni Kounalakis
    Eleni Kounalakis is an American politician and former U.S. ambassador who serves as the lieutenant governor of California.
  • B. Kato Svanidze
    Kato Svanidze was the first wife of Joseph Stalin, remembered primarily for her early death and its profound emotional impact on him.
  • C. Robert Cailliau
    Robert Cailliau is a Belgian computer scientist best known for co-developing the World Wide Web alongside Tim Berners-Lee at CERN.
  • D. John V. L. Hogan
    John V. L. Hogan was an American radio engineer and pioneer in early radio technology and broadcasting.
  • E. Yurii Rubinsky
    Yurii Rubinsky was a pioneering Canadian technologist, publisher, and early advocate of SGML and open digital standards who significantly influenced the development of electronic publishing.
  • 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_69a23d7ad88c8190bffe8ab091d86642 completed Feb. 28, 2026, 12:57 a.m.
NER Named-entity recognition batch_69a23ff415ec819082ba80ed3859b71e completed Feb. 28, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2552ac50c819085e4e45c00cd7956 completed Feb. 28, 2026, 2:38 a.m.
NEDg Description generation batch_69a2569d3d008190ad1546d18ba30375 completed Feb. 28, 2026, 2:44 a.m.
NED2 Entity disambiguation (via description) batch_69a2573414808190bbab27e1f48479a5 completed Feb. 28, 2026, 2:47 a.m.
Created at: Feb. 28, 2026, 1:02 a.m.