Triple
T6494447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mullen |
E148120
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Peter Mullen
Peter Mullen is a British Anglican priest and writer known for his traditionalist views and commentary on religious and social issues.
|
E597224
|
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: Peter Mullen | Statement: [Mullen, hasNotableBearer, Peter Mullen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Mullen Context triple: [Mullen, hasNotableBearer, Peter Mullen]
-
A.
Alan Milburn
Alan Milburn is a British Labour politician and former Secretary of State for Health who later became a prominent figure in public service reform and higher education leadership.
-
B.
John Denham
John Denham is a British Labour politician who served in senior ministerial roles, including overseeing higher education and innovation policy in the UK government.
-
C.
Paul Givan
Paul Givan is a Democratic Unionist Party politician who served as First Minister of Northern Ireland.
-
D.
Antony Kearns
Antony Kearns is a British actor best known as the stepfather of Cherie Blair, the wife of former UK Prime Minister Tony Blair.
-
E.
John Lyons
John Lyons is a film producer best known for his work on major Hollywood comedies, including the Austin Powers series.
- 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: Peter Mullen Triple: [Mullen, hasNotableBearer, Peter Mullen]
Generated description
Peter Mullen is a British Anglican priest and writer known for his traditionalist views and commentary on religious and social issues.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peter Mullen Target entity description: Peter Mullen is a British Anglican priest and writer known for his traditionalist views and commentary on religious and social issues.
-
A.
Alan Milburn
Alan Milburn is a British Labour politician and former Secretary of State for Health who later became a prominent figure in public service reform and higher education leadership.
-
B.
John Denham
John Denham is a British Labour politician who served in senior ministerial roles, including overseeing higher education and innovation policy in the UK government.
-
C.
Paul Givan
Paul Givan is a Democratic Unionist Party politician who served as First Minister of Northern Ireland.
-
D.
Antony Kearns
Antony Kearns is a British actor best known as the stepfather of Cherie Blair, the wife of former UK Prime Minister Tony Blair.
-
E.
John Lyons
John Lyons is a film producer best known for his work on major Hollywood comedies, including the Austin Powers series.
- 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_69c009088f3081909cd467b05919de30 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06ab7c0b8819091437a293b40dfd2 |
completed | March 22, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c653c21f948190989da451bc573b4d |
completed | March 27, 2026, 9:54 a.m. |
| NEDg | Description generation | batch_69c657fec3d4819080366e7469874c39 |
completed | March 27, 2026, 10:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c65bb97e908190ab05174bae4ed9a8 |
completed | March 27, 2026, 10:28 a.m. |
Created at: March 22, 2026, 4:53 p.m.