Triple
T21441395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crimes of Passion |
E528946
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Peter Coleman |
—
|
NE NERFINISHED |
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: Peter Coleman | Statement: [Crimes of Passion, producer, Peter Coleman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Coleman Context triple: [Crimes of Passion, producer, Peter Coleman]
-
A.
Peter Coleman
Peter Coleman is an Australian author and former politician and editor known for his influential contributions to conservative intellectual and political life in Australia.
-
B.
Peter Coleman
chosen
Peter Coleman is a record producer known for his work on rock and pop albums, including projects like Pat Benatar’s "Heartbreaker."
-
C.
Jeff Coleman
Jeff Coleman is the namesake of Coleman Coliseum, a prominent multi-purpose arena at the University of Alabama.
-
D.
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.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c4569fa081908101baa24f8745db |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b7022a5081908d9ad5058cecb8e5 |
completed | April 22, 2026, 11:54 a.m. |
Created at: April 16, 2026, 6:05 p.m.