Triple
T7193090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen G. Breyer |
E167741
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Michael Breyer
Michael Breyer is the son of former U.S. Supreme Court Justice Stephen G. Breyer.
|
E662706
|
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: Michael Breyer | Statement: [Stephen G. Breyer, hasChild, Michael Breyer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Breyer Context triple: [Stephen G. Breyer, hasChild, Michael Breyer]
-
A.
Paul Knabenshue
Paul Knabenshue was an American diplomat best known for serving as the first U.S. Ambassador to Iraq in the early 20th century.
-
B.
Stephan von Breuning
Stephan von Breuning was a close friend of Ludwig van Beethoven and an Austrian civil servant and writer who contributed to the early libretto of the opera that became Fidelio.
-
C.
Eric Pohlmann
Eric Pohlmann was an Austrian-born character actor best known for providing the original voice of the villain Ernst Stavro Blofeld in the early James Bond films.
-
D.
Christian Specht
Christian Specht is a German politician who serves as the mayor of the city of Mannheim.
-
E.
Erik Heinrichs
Erik Heinrichs was a Finnish general and senior military leader who played a key role in directing Finland’s armed forces during World War II.
- 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: Michael Breyer Triple: [Stephen G. Breyer, hasChild, Michael Breyer]
Generated description
Michael Breyer is the son of former U.S. Supreme Court Justice Stephen G. Breyer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Breyer Target entity description: Michael Breyer is the son of former U.S. Supreme Court Justice Stephen G. Breyer.
-
A.
Paul Knabenshue
Paul Knabenshue was an American diplomat best known for serving as the first U.S. Ambassador to Iraq in the early 20th century.
-
B.
Stephan von Breuning
Stephan von Breuning was a close friend of Ludwig van Beethoven and an Austrian civil servant and writer who contributed to the early libretto of the opera that became Fidelio.
-
C.
Eric Pohlmann
Eric Pohlmann was an Austrian-born character actor best known for providing the original voice of the villain Ernst Stavro Blofeld in the early James Bond films.
-
D.
Christian Specht
Christian Specht is a German politician who serves as the mayor of the city of Mannheim.
-
E.
Erik Heinrichs
Erik Heinrichs was a Finnish general and senior military leader who played a key role in directing Finland’s armed forces during World War II.
- 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_69c6888b5248819090499a884ee3ec39 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e9036544819083c70a5d2135ba4b |
completed | March 27, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81eaa62dc8190b6a3d39ee3e1f3a5 |
completed | March 28, 2026, 6:32 p.m. |
| NEDg | Description generation | batch_69c81f9b565881909bebcc3112037f52 |
completed | March 28, 2026, 6:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8207912f4819086e99ed441bee805 |
completed | March 28, 2026, 6:39 p.m. |
Created at: March 27, 2026, 2:50 p.m.