Triple
T7004438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stuart Erwin |
E162416
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Stu Erwin
Stu Erwin was an American actor best known for his comedic roles in film and radio during the 1930s and 1940s, including the television series "The Stu Erwin Show."
|
E634756
|
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: Stu Erwin | Statement: [Stuart Erwin, alsoKnownAs, Stu Erwin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stu Erwin Context triple: [Stuart Erwin, alsoKnownAs, Stu Erwin]
-
A.
Jack O'Brien
Jack O'Brien is the introspective eldest son whose childhood memories and spiritual questioning form the emotional core of Terrence Malick’s film "The Tree of Life."
-
B.
Jack O’Brien
Jack O’Brien is a Tony Award–winning American theatre director known for his work on major Broadway productions and revivals.
-
C.
Roy Webb
Roy Webb was an American film composer best known for scoring numerous RKO Pictures films, particularly in the 1930s and 1940s.
-
D.
Robert Vaught
Robert Vaught was an American logician and mathematician known for his influential work in model theory and mathematical logic.
-
E.
Hal Young
Hal Young was an early 20th-century cinematographer recognized as a pioneering figure in American film and a founding member of the American Society of Cinematographers.
- 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: Stu Erwin Triple: [Stuart Erwin, alsoKnownAs, Stu Erwin]
Generated description
Stu Erwin was an American actor best known for his comedic roles in film and radio during the 1930s and 1940s, including the television series "The Stu Erwin Show."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stu Erwin Target entity description: Stu Erwin was an American actor best known for his comedic roles in film and radio during the 1930s and 1940s, including the television series "The Stu Erwin Show."
-
A.
Jack O'Brien
Jack O'Brien is the introspective eldest son whose childhood memories and spiritual questioning form the emotional core of Terrence Malick’s film "The Tree of Life."
-
B.
Jack O’Brien
Jack O’Brien is a Tony Award–winning American theatre director known for his work on major Broadway productions and revivals.
-
C.
Roy Webb
Roy Webb was an American film composer best known for scoring numerous RKO Pictures films, particularly in the 1930s and 1940s.
-
D.
Robert Vaught
Robert Vaught was an American logician and mathematician known for his influential work in model theory and mathematical logic.
-
E.
Hal Young
Hal Young was an early 20th-century cinematographer recognized as a pioneering figure in American film and a founding member of the American Society of Cinematographers.
- 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_69c6885928148190ae31909fbb5e9849 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dc14037c81908bb87250ef29be50 |
completed | March 27, 2026, 7:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c76a3b2e9c8190b90c4eaaaea983ee |
completed | March 28, 2026, 5:42 a.m. |
| NEDg | Description generation | batch_69c76b1ef6f481908f4c4f610328f633 |
completed | March 28, 2026, 5:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c76c01679c8190b61f642c23c25ed5 |
completed | March 28, 2026, 5:49 a.m. |
Created at: March 27, 2026, 2:33 p.m.