Triple
T6494466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mullen |
E148120
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
George Mullen
George Mullen is a relatively obscure individual whose name is notably recorded as a bearer of the surname Mullen.
|
E663191
|
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: George Mullen | Statement: [Mullen, hasNotableBearer, George Mullen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Mullen Context triple: [Mullen, hasNotableBearer, George Mullen]
-
A.
Jack L. Murray
Jack L. Murray is a film producer best known for his work on the 2009 horror remake "My Bloody Valentine 3D."
-
B.
John Hembree
John Hembree is a musician best known for briefly serving as a bassist for the American rock band Paramore.
-
C.
Roger Mullin
Roger Mullin is a Scottish politician and academic who served as the Scottish National Party Member of Parliament for Kirkcaldy and Cowdenbeath.
-
D.
George Bowers
George Bowers was an American film editor known for his work on numerous Hollywood movies, including the baseball comedy-drama "A League of Their Own."
-
E.
James H. Morris
James H. Morris is an American computer scientist best known for co-developing the Knuth–Morris–Pratt string-searching algorithm and for his contributions to programming languages and computer systems research.
- 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: George Mullen Triple: [Mullen, hasNotableBearer, George Mullen]
Generated description
George Mullen is a relatively obscure individual whose name is notably recorded as a bearer of the surname Mullen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: George Mullen Target entity description: George Mullen is a relatively obscure individual whose name is notably recorded as a bearer of the surname Mullen.
-
A.
Jack L. Murray
Jack L. Murray is a film producer best known for his work on the 2009 horror remake "My Bloody Valentine 3D."
-
B.
John Hembree
John Hembree is a musician best known for briefly serving as a bassist for the American rock band Paramore.
-
C.
Roger Mullin
Roger Mullin is a Scottish politician and academic who served as the Scottish National Party Member of Parliament for Kirkcaldy and Cowdenbeath.
-
D.
George Bowers
George Bowers was an American film editor known for his work on numerous Hollywood movies, including the baseball comedy-drama "A League of Their Own."
-
E.
James H. Morris
James H. Morris is an American computer scientist best known for co-developing the Knuth–Morris–Pratt string-searching algorithm and for his contributions to programming languages and computer systems research.
- 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_69c81e9cc3b88190a96ced453be3691e |
completed | March 28, 2026, 6:31 p.m. |
| NEDg | Description generation | batch_69c81fd379cc81908b52c45fddea9870 |
completed | March 28, 2026, 6:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8209b7fa48190aea45a6b21ad8de1 |
completed | March 28, 2026, 6:40 p.m. |
Created at: March 22, 2026, 4:53 p.m.