Triple
T19872200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deathtrap (1982 film) |
E477545
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Joe Silver
Joe Silver was a Canadian character actor known for his work in film, television, and stage, often appearing in genre and cult productions.
|
E1399743
|
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: Joe Silver | Statement: [Deathtrap (1982 film), castMember, Joe Silver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Silver Context triple: [Deathtrap (1982 film), castMember, Joe Silver]
-
A.
Winston Silver
Winston Silver is a lighter, lower-tar and nicotine variant of the Winston brand of cigarettes.
-
B.
Philip Nolan
Philip Nolan was an Irish-American trader and filibuster active in the late 18th century, known for his expeditions into Spanish Texas and his role in early American incursions into the region.
-
C.
John Bridger
John Bridger is a veteran safecracker and mentor figure in the 2003 heist film "The Italian Job," known for planning intricate robberies and leading a close-knit crew.
-
D.
Martin Milmore
Martin Milmore was a 19th-century Irish-born American sculptor best known for his prominent public monuments and memorials in Boston.
-
E.
Tom Gilroy
Tom Gilroy is an American filmmaker, writer, and actor known for his work in independent cinema and theater.
- 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: Joe Silver Triple: [Deathtrap (1982 film), castMember, Joe Silver]
Generated description
Joe Silver was a Canadian character actor known for his work in film, television, and stage, often appearing in genre and cult productions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joe Silver Target entity description: Joe Silver was a Canadian character actor known for his work in film, television, and stage, often appearing in genre and cult productions.
-
A.
Winston Silver
Winston Silver is a lighter, lower-tar and nicotine variant of the Winston brand of cigarettes.
-
B.
Philip Nolan
Philip Nolan was an Irish-American trader and filibuster active in the late 18th century, known for his expeditions into Spanish Texas and his role in early American incursions into the region.
-
C.
John Bridger
John Bridger is a veteran safecracker and mentor figure in the 2003 heist film "The Italian Job," known for planning intricate robberies and leading a close-knit crew.
-
D.
Martin Milmore
Martin Milmore was a 19th-century Irish-born American sculptor best known for his prominent public monuments and memorials in Boston.
-
E.
Tom Gilroy
Tom Gilroy is an American filmmaker, writer, and actor known for his work in independent cinema and theater.
- 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658d826f88190be04188997952d1b |
completed | April 20, 2026, 4:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07dbc44f748190a65d88890960d90b |
completed | May 16, 2026, 2:51 a.m. |
| NEDg | Description generation | batch_6a07dc854a0c8190b0da81ead6b9cfc1 |
completed | May 16, 2026, 2:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07dd45e93c8190b14c23487398a8ec |
completed | May 16, 2026, 2:58 a.m. |
Created at: April 10, 2026, 1:51 p.m.