Triple
T5042045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Asphalt Jungle |
E113566
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Barry Kelley
Barry Kelley was an American character actor known for his tough, authoritative roles in mid-20th-century film noir and crime dramas.
|
E488532
|
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: Barry Kelley | Statement: [The Asphalt Jungle, castMember, Barry Kelley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barry Kelley Context triple: [The Asphalt Jungle, castMember, Barry Kelley]
-
A.
Les Kelley
Les Kelley was an American car dealer and entrepreneur best known for creating the Kelley Blue Book, a widely used guide for automobile values.
-
B.
Dan Rydell
Dan Rydell is a charismatic, quick-witted sports anchor and one of the central protagonists on the television series "Sports Night."
-
C.
Barry Peterson
Barry Peterson is a Canadian cinematographer known for his work on major studio comedies and action films, including the 2015 movie "Vacation."
-
D.
Andrew Barrer
Andrew Barrer is a screenwriter best known for co-writing the Marvel superhero film "Ant-Man and the Wasp."
-
E.
Kevin Hageman
Kevin Hageman is an American screenwriter and producer known for his work on animated and family films and television series, including contributions to The Lego Movie franchise.
- 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: Barry Kelley Triple: [The Asphalt Jungle, castMember, Barry Kelley]
Generated description
Barry Kelley was an American character actor known for his tough, authoritative roles in mid-20th-century film noir and crime dramas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Barry Kelley Target entity description: Barry Kelley was an American character actor known for his tough, authoritative roles in mid-20th-century film noir and crime dramas.
-
A.
Les Kelley
Les Kelley was an American car dealer and entrepreneur best known for creating the Kelley Blue Book, a widely used guide for automobile values.
-
B.
Dan Rydell
Dan Rydell is a charismatic, quick-witted sports anchor and one of the central protagonists on the television series "Sports Night."
-
C.
Barry Peterson
Barry Peterson is a Canadian cinematographer known for his work on major studio comedies and action films, including the 2015 movie "Vacation."
-
D.
Andrew Barrer
Andrew Barrer is a screenwriter best known for co-writing the Marvel superhero film "Ant-Man and the Wasp."
-
E.
Kevin Hageman
Kevin Hageman is an American screenwriter and producer known for his work on animated and family films and television series, including contributions to The Lego Movie franchise.
- 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_69bd44384298819089c49e7c330ec7b8 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73de73008190b89aec9a76b43e4f |
completed | March 20, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9c8414288190bf53a40033aa70ea |
completed | March 21, 2026, 1:26 p.m. |
| NEDg | Description generation | batch_69be9e5bc02c8190bcb1442439673706 |
completed | March 21, 2026, 1:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69be9f0888cc8190bfed8337e15ca909 |
completed | March 21, 2026, 1:37 p.m. |
Created at: March 20, 2026, 1:37 p.m.