Triple
T14640982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Parks |
E343721
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object |
Harry Samuel Parks
Harry Samuel Parks is the birth name of American actor and singer Michael Parks, known for his roles in film and television from the 1960s onward.
|
E1306823
|
NE FINISHED |
How this triple was built (3 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.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harry Samuel Parks Context triple: [Michael Parks, birthName, Harry Samuel Parks]
-
A.
George Alexander Parks
George Alexander Parks was an American engineer and politician who served as the territorial governor of Alaska from 1925 to 1933.
-
B.
Aaron Montgomery Ward
Aaron Montgomery Ward was an American businessman and pioneer of mail-order retailing who founded the Montgomery Ward department store company in the late 19th century.
-
C.
Charles Walter
Charles Walter is the given first and middle name of Charles Walter Allfrey, a British Army officer who served as a senior commander during the Second World War.
-
D.
Henry Robinson
Henry Robinson was an English clergyman and theologian active in early 17th-century religious affairs, notably involved in high-level ecclesiastical discussions under James I.
-
E.
Robert Marvin Hull
Robert Marvin Hull was a legendary Canadian professional ice hockey player, best known as a high-scoring left winger for the Chicago Blackhawks and a member of the Hockey Hall of Fame.
- 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: Harry Samuel Parks Triple: [Michael Parks, birthName, Harry Samuel Parks]
Generated description
Harry Samuel Parks is the birth name of American actor and singer Michael Parks, known for his roles in film and television from the 1960s onward.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Harry Samuel Parks Target entity description: Harry Samuel Parks is the birth name of American actor and singer Michael Parks, known for his roles in film and television from the 1960s onward.
-
A.
George Alexander Parks
George Alexander Parks was an American engineer and politician who served as the territorial governor of Alaska from 1925 to 1933.
-
B.
Aaron Montgomery Ward
Aaron Montgomery Ward was an American businessman and pioneer of mail-order retailing who founded the Montgomery Ward department store company in the late 19th century.
-
C.
Charles Walter
Charles Walter is the given first and middle name of Charles Walter Allfrey, a British Army officer who served as a senior commander during the Second World War.
-
D.
Henry Robinson
Henry Robinson was an English clergyman and theologian active in early 17th-century religious affairs, notably involved in high-level ecclesiastical discussions under James I.
-
E.
Robert Marvin Hull
Robert Marvin Hull was a legendary Canadian professional ice hockey player, best known as a high-scoring left winger for the Chicago Blackhawks and a member of the Hockey Hall of Fame.
- F. None of above. chosen
Provenance (4 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a037c1f2ac48190be5990748207819a |
completed | May 12, 2026, 7:14 p.m. |
| NEDg | Description generation | batch_6a037e34ca8c81909bdaa64d3777ffb7 |
completed | May 12, 2026, 7:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a037ea9aa208190b82e32b47d04a417 |
completed | May 12, 2026, 7:25 p.m. |
Created at: April 10, 2026, 1:26 a.m.