Triple
T8546246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dick Emery |
E202330
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Dick Emery |
E202330
|
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: Dick Emery | Statement: [Dick Emery, name, Dick Emery]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dick Emery Context triple: [Dick Emery, name, Dick Emery]
-
A.
Dick Emery
chosen
Dick Emery was a popular English comedian and character actor best known for his long-running BBC television sketch show in the 1960s and 1970s.
-
B.
Matt Monro
Matt Monro was an English singer renowned for his smooth baritone voice and classic pop and easy-listening recordings during the 1960s.
-
C.
George McRae
George McRae was a Scottish-born Australian architect best known for designing prominent public buildings in Sydney, including the Queen Victoria Building.
-
D.
Mel Sheppard
Mel Sheppard was an American middle-distance runner and multiple Olympic gold medalist in the early 20th century.
-
E.
Al Bowlly
Al Bowlly was a popular British-based jazz and dance band singer of the 1930s, known for his smooth crooning style and numerous hit recordings.
- 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_69ca832461e88190a654c5e44e233aa8 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe74f62148190bfd6cacf5d4f74b6 |
completed | March 31, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6db3eef08190934f5b42807ad769 |
completed | April 2, 2026, 1:23 p.m. |
Created at: March 30, 2026, 6:18 p.m.