Triple
T9352227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vacation (2015 film) |
E225044
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | David Rennie |
E225044
|
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: David Rennie | Statement: [Vacation (2015 film), editor, David Rennie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Rennie Context triple: [Vacation (2015 film), editor, David Rennie]
-
A.
David Rennie
chosen
David Rennie is a film editor known for his work on feature comedies, including the 2015 movie "Vacation."
-
B.
Stuart Dryburgh
Stuart Dryburgh is a New Zealand cinematographer known for his acclaimed work on films such as The Piano and Bridget Jones’s Diary.
-
C.
Andrew Currie
Andrew Currie is a British businessman best known as one of the key executives and co-founders behind the multinational chemicals company Ineos.
-
D.
Scott Sturgeon
Scott Sturgeon is an American philosopher known for his work in epistemology and the philosophy of mind.
-
E.
David Giles
David Giles was a British television director best known for his work on classic literary adaptations and period dramas for the BBC.
- 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_69ca842abfd48190949d71c3b86eeba8 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4f93a9848190ad2ae24f2aa607d2 |
completed | April 1, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e44f0a7881908b53a97715f4c6da |
completed | April 4, 2026, 10:13 a.m. |
Created at: March 30, 2026, 7:41 p.m.