Triple
T8007579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Morning |
E186400
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Doc McKinney |
E340528
|
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: Doc McKinney | Statement: [The Morning, writer, Doc McKinney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doc McKinney Context triple: [The Morning, writer, Doc McKinney]
-
A.
Doc McKinney
chosen
Doc McKinney is a Canadian record producer and songwriter best known for his extensive work with The Weeknd and contributions to the alternative R&B sound.
-
B.
D.R. Roach
D.R. Roach is best known as the former husband of American country music singer Wynonna Judd.
-
C.
Dr. Jack Griffin
Dr. Jack Griffin is the brilliant but unhinged scientist who becomes the titular invisible man in the classic 1933 horror film "The Invisible Man."
-
D.
Michael “Doc” Ellis
Michael “Doc” Ellis is a rock musician best known as a member of the American glam metal band Ratt.
-
E.
Doc Golightly
Doc Golightly is a character in Truman Capote's "Breakfast at Tiffany's," known as the older Texan veterinarian who was once married to Holly Golightly and reveals her past.
- 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_69ca82abaffc8190ab8af79cdbc31ab3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3d6e1c9081909018bcebb18906f6 |
completed | March 31, 2026, 3:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc5697ac9081909fe7ca06d0c3ef38 |
completed | March 31, 2026, 11:19 p.m. |
Created at: March 30, 2026, 5:18 p.m.