Triple
T7901504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caesar and Cleopatra |
E183462
|
entity |
| Predicate | artDirectionBy |
P7743
|
FINISHED |
| Object | John Bryan |
E685046
|
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: John Bryan | Statement: [Caesar and Cleopatra, artDirectionBy, John Bryan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Bryan Context triple: [Caesar and Cleopatra, artDirectionBy, John Bryan]
-
A.
John Bryan
chosen
John Bryan was a British film art director and production designer known for his visually distinctive work on mid-20th-century cinema.
-
B.
John Stewart Bryan
John Stewart Bryan was an American newspaper publisher and educator who served as president and later chancellor of the College of William & Mary in the early 20th century.
-
C.
Bryan Bedford
Bryan Bedford is an American airline executive best known for leading regional carriers such as Chautauqua Airlines and Republic Airways Holdings.
-
D.
Bryan Bedford
Bryan Bedford is the young boy central to the 1994 film "Miracle on 34th Street," whose belief in Santa Claus becomes a key focus of the story.
-
E.
Bryan Woodman
Bryan Woodman is a young, ambitious energy analyst whose personal tragedy and moral awakening drive one of the central storylines in the geopolitical drama film "Syriana."
- 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_69ca828d13088190b222be7aa9f9315c |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a3f4c2c81909ae70b0acf4729be |
completed | March 31, 2026, 3:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc562c6e188190adbdf99479170920 |
completed | March 31, 2026, 11:18 p.m. |
Created at: March 30, 2026, 5:02 p.m.