Triple
T893574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reince Priebus |
E19292
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object |
Dimitra Priebus
Dimitra Priebus is the mother of American attorney and former White House Chief of Staff Reince Priebus.
|
E106033
|
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: Dimitra Priebus | Statement: [Reince Priebus, mother, Dimitra Priebus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dimitra Priebus Context triple: [Reince Priebus, mother, Dimitra Priebus]
-
A.
Barbara Müller
Barbara Müller was the wife of renowned German astronomer Johannes Kepler, with whom she shared a life during the early 17th century.
-
B.
Mariette Kövesi
Mariette Kövesi was the wife of renowned mathematician and polymath John von Neumann.
-
C.
Samantha Power
Samantha Power is an Irish-American diplomat, academic, and former U.S. Ambassador to the United Nations, renowned for her work on human rights and genocide.
-
D.
Cynthia Dall
Cynthia Dall was an American singer-songwriter and photographer known for her lo-fi indie work and collaborations with Bill Callahan of Smog.
-
E.
Greg Peters
Greg Peters is a media executive best known as the co-CEO of Netflix, where he oversees the company’s global streaming operations and strategy.
- 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: Dimitra Priebus Triple: [Reince Priebus, mother, Dimitra Priebus]
Generated description
Dimitra Priebus is the mother of American attorney and former White House Chief of Staff Reince Priebus.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dimitra Priebus Target entity description: Dimitra Priebus is the mother of American attorney and former White House Chief of Staff Reince Priebus.
-
A.
Barbara Müller
Barbara Müller was the wife of renowned German astronomer Johannes Kepler, with whom she shared a life during the early 17th century.
-
B.
Mariette Kövesi
Mariette Kövesi was the wife of renowned mathematician and polymath John von Neumann.
-
C.
Samantha Power
Samantha Power is an Irish-American diplomat, academic, and former U.S. Ambassador to the United Nations, renowned for her work on human rights and genocide.
-
D.
Cynthia Dall
Cynthia Dall was an American singer-songwriter and photographer known for her lo-fi indie work and collaborations with Bill Callahan of Smog.
-
E.
Greg Peters
Greg Peters is a media executive best known as the co-CEO of Netflix, where he oversees the company’s global streaming operations and strategy.
- 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_69a4939d37188190848be3d426ebc9ae |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad212cd8819091eb1b7d606f5afd |
completed | March 1, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7c02772208190ac86dd885728e89c |
completed | March 4, 2026, 5:16 a.m. |
| NEDg | Description generation | batch_69a7c2f036548190bc018c0cbe02d0ca |
completed | March 4, 2026, 5:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7c38925b481909133a1b098b08fa9 |
completed | March 4, 2026, 5:30 a.m. |
Created at: March 1, 2026, 7:39 p.m.