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.