Triple
T14600516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snow Dogs |
E342691
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Tom S. Parker
Tom S. Parker is a screenwriter best known for co-writing the family comedy film "Snow Dogs."
|
E1108776
|
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: Tom S. Parker | Statement: [Snow Dogs, screenwriter, Tom S. Parker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom S. Parker Context triple: [Snow Dogs, screenwriter, Tom S. Parker]
-
A.
Tom Parker
Tom Parker is an enthusiastic and somewhat impulsive entrepreneur in Jane Austen’s unfinished novel "Sanditon," whose ambitions to develop the seaside resort drive much of the story’s events.
-
B.
Tom Parker
Tom Parker was the influential and controversial music manager best known for guiding Elvis Presley’s career to global superstardom.
-
C.
Walter Burke
Walter Burke is a seasoned and enigmatic CIA instructor who mentors and tests a young recruit in the spy thriller film "The Recruit."
-
D.
Harry T. Morey
Harry T. Morey was an American silent film actor prominent in the early 20th century, known for his leading roles in numerous dramas and adventure films.
-
E.
Malcolm Whitman
Malcolm Whitman was an American tennis player and three-time U.S. National Championships singles champion in the late 19th century.
- 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: Tom S. Parker Triple: [Snow Dogs, screenwriter, Tom S. Parker]
Generated description
Tom S. Parker is a screenwriter best known for co-writing the family comedy film "Snow Dogs."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tom S. Parker Target entity description: Tom S. Parker is a screenwriter best known for co-writing the family comedy film "Snow Dogs."
-
A.
Tom Parker
Tom Parker is an enthusiastic and somewhat impulsive entrepreneur in Jane Austen’s unfinished novel "Sanditon," whose ambitions to develop the seaside resort drive much of the story’s events.
-
B.
Tom Parker
Tom Parker was the influential and controversial music manager best known for guiding Elvis Presley’s career to global superstardom.
-
C.
Walter Burke
Walter Burke is a seasoned and enigmatic CIA instructor who mentors and tests a young recruit in the spy thriller film "The Recruit."
-
D.
Harry T. Morey
Harry T. Morey was an American silent film actor prominent in the early 20th century, known for his leading roles in numerous dramas and adventure films.
-
E.
Malcolm Whitman
Malcolm Whitman was an American tennis player and three-time U.S. National Championships singles champion in the late 19th century.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb438748081908020ce04b869866a |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94cc9fbc819090ae4efe9bc618aa |
completed | May 8, 2026, 7:46 a.m. |
| NEDg | Description generation | batch_69fd973985b881908f0c2fd201db8104 |
completed | May 8, 2026, 7:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd9843857c819089eb96564b8a9503 |
completed | May 8, 2026, 8:01 a.m. |
Created at: April 10, 2026, 1:25 a.m.