Triple
T21095775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waterloo Road |
E519760
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Cameron Roach |
—
|
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: Cameron Roach | Statement: [Waterloo Road, executiveProducer, Cameron Roach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cameron Roach Context triple: [Waterloo Road, executiveProducer, Cameron Roach]
-
A.
Cameron Roach
chosen
Cameron Roach is a British television producer known for his work on prominent UK drama series.
-
B.
Brian Rooks
Brian Rooks is a collegiate sports administrator who serves as the athletic director for Colorado Mesa University's Mavericks athletic programs.
-
C.
Gary Roach
Gary Roach is a film editor best known for his frequent collaborations with director Clint Eastwood on movies such as "Gran Torino."
-
D.
Josh Duhon
Josh Duhon is an American actor best known for his role as Logan Hayes on the soap opera "General Hospital."
-
E.
Michael Wansley
Michael Wansley is an American singer and rapper best known for his distinctive vocal hook on Macklemore & Ryan Lewis's hit single "Thrift Shop."
- 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_69e0b508d8dc81909be940dafe36c8f7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e71b5845f88190a16f3df157f0906c |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 2:52 p.m.