Triple
T10917536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riff-Raff |
E257862
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Jimmy Coleman |
E894439
|
NE FINISHED |
How this triple was built (2 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, hasCastMember, Jimmy Coleman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jimmy Coleman Context triple: [Riff-Raff, hasCastMember, Jimmy Coleman]
-
A.
Jimmy Coleman
chosen
Jimmy Coleman is an actor known for his role in the film "Riff-Raff."
-
B.
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.
-
C.
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.
-
D.
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.
-
E.
Ron Coley
Ron Coley is known as the husband of academic leader and university president Soraya M. Coley.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69e23bbf70688190be9315a75582dbe2 |
completed | April 17, 2026, 1:55 p.m. |
Created at: April 8, 2026, 9:22 p.m.