Triple
T15019819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miami Blues |
E378054
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | George Armitage |
E970106
|
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: George Armitage | Statement: [Miami Blues, director, George Armitage]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Armitage Context triple: [Miami Blues, director, George Armitage]
-
A.
George Armitage
chosen
George Armitage is an American film director and screenwriter best known for cult favorites like "Miami Blues" and "Grosse Pointe Blank."
-
B.
William Ross
William Ross is an American composer, orchestrator, and conductor known for his work on numerous film scores and collaborations with major Hollywood productions.
-
C.
George C. Pearce
George C. Pearce was an early 20th-century American film actor known for his character roles in silent-era dramas.
-
D.
Robert Armstrong
Robert Armstrong is a common name shared by several notable individuals, including an American actor famous for his role in the 1933 film "King Kong" and a U.S. politician who served as a senator from Texas.
-
E.
John L. Lumley
John L. Lumley was a prominent American fluid dynamicist known for his pioneering contributions to the understanding and modeling of turbulence.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded76445988190984b57de66e00c4a |
completed | April 15, 2026, 12:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d39a0908190a27f7bbaee7a04ef |
completed | May 9, 2026, 1:57 p.m. |
Created at: April 10, 2026, 2:56 a.m.