Triple
T10917504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riff-Raff |
E257862
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Jimmy Coleman
Jimmy Coleman is an actor known for his role in the film "Riff-Raff."
|
E894439
|
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: Jimmy Coleman | Statement: [Riff-Raff, starring, Jimmy Coleman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jimmy Coleman Context triple: [Riff-Raff, starring, Jimmy Coleman]
-
A.
John Coleman
John Coleman was an American television meteorologist and entrepreneur best known for co-founding and serving as the first CEO of The Weather Channel.
-
B.
John Coleman
John Coleman was a legendary Australian rules footballer renowned as one of Essendon Football Club’s greatest full-forwards and most prolific goal scorers.
-
C.
Rob Coleman
Rob Coleman is a visual effects supervisor and animation director best known for his work on major films at Industrial Light & Magic, including the Star Wars prequel trilogy.
-
D.
Ron Coley
Ron Coley is known as the husband of academic leader and university president Soraya M. Coley.
-
E.
Ralph Coleman
Ralph Coleman was a prominent Oregon State University baseball coach whose legacy in the sport led to the university’s baseball stadium being named in his honor.
- 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: Jimmy Coleman Triple: [Riff-Raff, starring, Jimmy Coleman]
Generated description
Jimmy Coleman is an actor known for his role in the film "Riff-Raff."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jimmy Coleman Target entity description: Jimmy Coleman is an actor known for his role in the film "Riff-Raff."
-
A.
John Coleman
John Coleman was an American television meteorologist and entrepreneur best known for co-founding and serving as the first CEO of The Weather Channel.
-
B.
John Coleman
John Coleman was a legendary Australian rules footballer renowned as one of Essendon Football Club’s greatest full-forwards and most prolific goal scorers.
-
C.
Rob Coleman
Rob Coleman is a visual effects supervisor and animation director best known for his work on major films at Industrial Light & Magic, including the Star Wars prequel trilogy.
-
D.
Ron Coley
Ron Coley is known as the husband of academic leader and university president Soraya M. Coley.
-
E.
Ralph Coleman
Ralph Coleman was a prominent Oregon State University baseball coach whose legacy in the sport led to the university’s baseball stadium being named in his honor.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7707ebdcc8190b42cafe21c667c82 |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2170bb97c81908e8d209ddb630601 |
completed | April 17, 2026, 11:18 a.m. |
| NEDg | Description generation | batch_69e21d8952c881908a952de83754e049 |
completed | April 17, 2026, 11:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e2247fbd348190bb0d221923dac892 |
completed | April 17, 2026, 12:16 p.m. |
Created at: April 8, 2026, 9:22 p.m.