Triple
T5148688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Dog |
E116137
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Nelson Woss
Nelson Woss is an Australian film producer best known for his work on the popular family film "Red Dog" and its related projects.
|
E505583
|
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: Nelson Woss | Statement: [Red Dog, producer, Nelson Woss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nelson Woss Context triple: [Red Dog, producer, Nelson Woss]
-
A.
John Nelson
John Nelson is a central fictional figure in the Western-themed narrative of "Kansas Pacific," around whom much of the story's action and conflict revolves.
-
B.
Murray Wier
Murray Wier was an American professional basketball player best known for his collegiate stardom at the University of Iowa in the 1940s and subsequent career in the early NBA.
-
C.
Louis Nelson
Louis Nelson is an American graphic designer best known for creating the powerful visual narrative elements of the Korean War Veterans Memorial in Washington, D.C.
-
D.
Kent Nelson
Kent Nelson is the DC Comics sorcerer who becomes Doctor Fate, a powerful mystical hero and longtime member of the Justice Society of America.
-
E.
Waldemar Young
Waldemar Young was an American screenwriter known for his work on numerous Hollywood films during the silent and early sound eras.
- 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: Nelson Woss Triple: [Red Dog, producer, Nelson Woss]
Generated description
Nelson Woss is an Australian film producer best known for his work on the popular family film "Red Dog" and its related projects.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nelson Woss Target entity description: Nelson Woss is an Australian film producer best known for his work on the popular family film "Red Dog" and its related projects.
-
A.
John Nelson
John Nelson is a central fictional figure in the Western-themed narrative of "Kansas Pacific," around whom much of the story's action and conflict revolves.
-
B.
Murray Wier
Murray Wier was an American professional basketball player best known for his collegiate stardom at the University of Iowa in the 1940s and subsequent career in the early NBA.
-
C.
Louis Nelson
Louis Nelson is an American graphic designer best known for creating the powerful visual narrative elements of the Korean War Veterans Memorial in Washington, D.C.
-
D.
Kent Nelson
Kent Nelson is the DC Comics sorcerer who becomes Doctor Fate, a powerful mystical hero and longtime member of the Justice Society of America.
-
E.
Waldemar Young
Waldemar Young was an American screenwriter known for his work on numerous Hollywood films during the silent and early sound eras.
- 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_69bd4446c0e08190a7c29dc74976bf03 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd78b17028819080568715df8c13eb |
completed | March 20, 2026, 4:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bef7f117ac8190a03379437484627b |
completed | March 21, 2026, 7:56 p.m. |
| NEDg | Description generation | batch_69bef933c4008190bea3a5a7e5de17e6 |
completed | March 21, 2026, 8:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bef9a600908190bdaff60b7a514538 |
completed | March 21, 2026, 8:03 p.m. |
Created at: March 20, 2026, 1:43 p.m.