Triple
T7429664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord Neuberger of Abbotsbury |
E171456
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Neuberger
Neuberger is a surname most prominently associated with Lord Neuberger of Abbotsbury, a senior British judge and former President of the UK Supreme Court.
|
E662885
|
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: Neuberger | Statement: [Lord Neuberger of Abbotsbury, familyName, Neuberger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neuberger Context triple: [Lord Neuberger of Abbotsbury, familyName, Neuberger]
-
A.
Neubauer
Neubauer is a German surname borne by various notable individuals, including activists, politicians, and academics.
-
B.
Dirksen
Dirksen is a surname most notably associated with Everett Dirksen, a prominent mid-20th-century American politician and U.S. Senate Minority Leader.
-
C.
Scheer
Scheer is a German surname most notably associated with Reinhard Scheer, a high-ranking Imperial German Navy admiral during World War I.
-
D.
Ervin
Ervin is a masculine given name of Germanic origin, closely related to names like Erwin and Irvin.
-
E.
Groysman
Groysman is a Ukrainian surname most prominently associated with Volodymyr Groysman, a former Prime Minister of Ukraine.
- 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: Neuberger Triple: [Lord Neuberger of Abbotsbury, familyName, Neuberger]
Generated description
Neuberger is a surname most prominently associated with Lord Neuberger of Abbotsbury, a senior British judge and former President of the UK Supreme Court.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Neuberger Target entity description: Neuberger is a surname most prominently associated with Lord Neuberger of Abbotsbury, a senior British judge and former President of the UK Supreme Court.
-
A.
Neubauer
Neubauer is a German surname borne by various notable individuals, including activists, politicians, and academics.
-
B.
Dirksen
Dirksen is a surname most notably associated with Everett Dirksen, a prominent mid-20th-century American politician and U.S. Senate Minority Leader.
-
C.
Scheer
Scheer is a German surname most notably associated with Reinhard Scheer, a high-ranking Imperial German Navy admiral during World War I.
-
D.
Ervin
Ervin is a masculine given name of Germanic origin, closely related to names like Erwin and Irvin.
-
E.
Groysman
Groysman is a Ukrainian surname most prominently associated with Volodymyr Groysman, a former Prime Minister of Ukraine.
- 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_69c68a63491881909281f73d4d5643bf |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f3082f188190af5673d18ac7e87e |
completed | March 27, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81f135a348190ae9edc02a19b2278 |
completed | March 28, 2026, 6:33 p.m. |
| NEDg | Description generation | batch_69c81fffd8c0819080baa0bce5351111 |
completed | March 28, 2026, 6:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c820a90ae08190b7872bc44085f4a3 |
completed | March 28, 2026, 6:40 p.m. |
Created at: March 27, 2026, 3:12 p.m.