Triple
T4035222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ex Machina |
E83811
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Mark Day |
E117459
|
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: Mark Day | Statement: [Ex Machina, editedBy, Mark Day]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Day Context triple: [Ex Machina, editedBy, Mark Day]
-
A.
Mark Day
chosen
Mark Day is a British film editor best known for his long-time collaboration with director David Yates on several Harry Potter films and other major studio productions.
-
B.
Timothy Day
Timothy Day is an American flutist best known as the longtime principal flute of the San Francisco Symphony and a prominent orchestral performer and teacher.
-
C.
Kenneth Dayes
Kenneth Dayes is a musician best known as a member of the Jamaican roots reggae band Culture.
-
D.
Ken Maynard
Ken Maynard was a popular American silent- and early sound-era Western film star and stunt rider known for his roles as a cowboy hero.
-
E.
Guy Day
Guy Day was an American advertising executive best known as the co-founder of the influential agency Chiat/Day, which produced iconic campaigns such as Apple’s “1984” commercial.
- 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_69aed92f7cf0819098e0539bdcc3767f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb132f6c8190937acd35a6a5a9e4 |
completed | March 9, 2026, 4:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5629748d88190984cce08eef05e9c |
completed | March 14, 2026, 1:28 p.m. |
Created at: March 9, 2026, 3:36 p.m.