Triple
T21952252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Company You Keep |
E542096
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Mark Day |
—
|
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: Mark Day | Statement: [The Company You Keep, editor, Mark Day]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Day Context triple: [The Company You Keep, editor, 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.
Mark Day
Mark Day is an English guitarist best known for his work with the influential Madchester band Happy Mondays.
-
C.
Paul Day
Paul Day is a Canadian lacrosse coach and former player best known for leading professional box lacrosse teams in the National Lacrosse League.
-
D.
James Day
James Day is a relatively common personal name shared by multiple individuals across various professions, including the arts, sports, and academia.
-
E.
Brian Day
Brian Day is a Canadian physician and health-care advocate known for his leadership in debates over private versus public funding in Canada's medical system.
- 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_69e0c47ef0e48190a50e1bcc43f4b3fd |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1243c84d4819097f5a93b128f024b |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:58 p.m.