Triple
T6100664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Out West with the Hardys |
E135984
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
John Dilson
John Dilson was an American character actor active in the 1930s and 1940s, known for his numerous supporting roles in Hollywood films.
|
E591679
|
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: John Dilson | Statement: [Out West with the Hardys, castMember, John Dilson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Dilson Context triple: [Out West with the Hardys, castMember, John Dilson]
-
A.
John Dolman
John Dolman was an English clergyman and benefactor of the late 16th century best known for establishing Pocklington School in Yorkshire.
-
B.
Arthur Dignam
Arthur Dignam was an Australian actor known for his distinctive character roles in film, television, and theatre.
-
C.
Richard Bristow
Richard Bristow was a 16th-century English Catholic scholar and theologian who contributed to the development and annotation of the Douay–Rheims Bible.
-
D.
John Glynn
John Glynn was an 18th-century English lawyer and politician whose prominence led to Glynn County in Georgia being named in his honor.
-
E.
David Semple
David Semple was a British bacteriologist best known for developing an early anti-rabies vaccine while serving in the Indian Medical Service.
- 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: John Dilson Triple: [Out West with the Hardys, castMember, John Dilson]
Generated description
John Dilson was an American character actor active in the 1930s and 1940s, known for his numerous supporting roles in Hollywood films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Dilson Target entity description: John Dilson was an American character actor active in the 1930s and 1940s, known for his numerous supporting roles in Hollywood films.
-
A.
John Dolman
John Dolman was an English clergyman and benefactor of the late 16th century best known for establishing Pocklington School in Yorkshire.
-
B.
Arthur Dignam
Arthur Dignam was an Australian actor known for his distinctive character roles in film, television, and theatre.
-
C.
Richard Bristow
Richard Bristow was a 16th-century English Catholic scholar and theologian who contributed to the development and annotation of the Douay–Rheims Bible.
-
D.
John Glynn
John Glynn was an 18th-century English lawyer and politician whose prominence led to Glynn County in Georgia being named in his honor.
-
E.
David Semple
David Semple was a British bacteriologist best known for developing an early anti-rabies vaccine while serving in the Indian Medical Service.
- 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_69c0087dee9881909e3655be88208c01 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05b3aa9908190865be98ada141d37 |
completed | March 22, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6409d48408190b2048c07272277ac |
completed | March 27, 2026, 8:32 a.m. |
| NEDg | Description generation | batch_69c6421cfa948190b62735451ede82f0 |
completed | March 27, 2026, 8:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6426f194c819086fa4baffe8d237b |
completed | March 27, 2026, 8:40 a.m. |
Created at: March 22, 2026, 4:13 p.m.