Triple
T19255474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George |
E481505
|
entity |
| Predicate | givenNameOf |
P17
|
FINISHED |
| Object | Geordie Greig |
—
|
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: Geordie Greig | Statement: [George, givenNameOf, Geordie Greig]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geordie Greig Context triple: [George, givenNameOf, Geordie Greig]
-
A.
Geordie Greig
chosen
Geordie Greig is a British journalist and newspaper editor best known for leading major UK titles including the Daily Mail and the Evening Standard.
-
B.
Gavin Fry
Gavin Fry is an Australian art historian, writer, and museum director known for his contributions to the documentation and promotion of Australian art and artists.
-
C.
Greig Fraser
Greig Fraser is an acclaimed Australian cinematographer known for his visually striking work on major films such as Dune, Rogue One: A Star Wars Story, and The Batman.
-
D.
Mark Bairstow
Mark Bairstow is an individual notable enough to be recognized as a prominent bearer of the Bairstow surname.
-
E.
Michael Klinger
Michael Klinger was a British film producer best known for his influential work in 1960s and 1970s British cinema, including several notable crime and thriller films.
- 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_69d8e8cd9d1081908a181d02b88b59b8 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fb3459d08190a7c28ed3f8c82a97 |
completed | April 20, 2026, 10:08 a.m. |
Created at: April 10, 2026, 1:28 p.m.