Triple
T20427193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The White Countess |
E501035
|
entity |
| Predicate | costumeDesigner |
P184
|
FINISHED |
| Object | James Acheson |
—
|
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: James Acheson | Statement: [The White Countess, costumeDesigner, James Acheson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Acheson Context triple: [The White Countess, costumeDesigner, James Acheson]
-
A.
James Acheson
James Acheson is a film and television producer best known for his executive production work on the crime drama series "Godfather of Harlem."
-
B.
James Acheson
chosen
James Acheson is an acclaimed British costume designer best known for his Oscar-winning work on films such as "The Last Emperor" and "Dangerous Liaisons."
-
C.
Archibald Gillespie
Archibald Gillespie was a U.S. Marine Corps officer notable for his role in the Mexican–American War, particularly in early California campaigns.
-
D.
John Kelso
John Kelso is a real-life Savannah journalist and social columnist who appears as a sharp-tongued, observant character in John Berendt’s nonfiction book "Midnight in the Garden of Good and Evil."
-
E.
Hugh Baird
Hugh Baird was a Scottish civil engineer best known for his major role in early 19th-century canal design and construction.
- 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_69e0b4aa68fc8190b1a14c55575ef04a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67ba9700481909fa23493f98095d1 |
completed | April 20, 2026, 7:16 p.m. |
Created at: April 16, 2026, 11:30 a.m.