Triple
T5732026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dogville |
E126405
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Blair Brown |
E388261
|
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: Blair Brown | Statement: [Dogville, hasCastMember, Blair Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blair Brown Context triple: [Dogville, hasCastMember, Blair Brown]
-
A.
Blair Brown
chosen
Blair Brown is an American actress best known for her work in film, television, and theater, including prominent roles in series like "The Days and Nights of Molly Dodd" and "Fringe."
-
B.
Clarissa Brown
Clarissa Brown was the wife of American explorer and soldier Zebulon Pike, known for her connection to his early 19th-century expeditions and military career.
-
C.
Brooke Blair
Brooke Blair is a film composer best known for co-scoring the intense thriller "Green Room," often collaborating with his brother Will Blair.
-
D.
Leslie Banks
Leslie Banks was a British stage and film actor best known for his distinctive scarred appearance and roles in early 20th-century cinema, including classic thrillers and dramas.
-
E.
Cynthia Blaise
Cynthia Blaise is an American dialect coach and actress known for her work on films such as "Bad Teacher" and "The Tiger Hunter."
- 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_69c0083082288190b7478cead6b5430a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02532fd308190a7434dd42a55e9ac |
completed | March 22, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a906e008190bd2b9a3481733f14 |
completed | March 22, 2026, 9:09 p.m. |
Created at: March 22, 2026, 3:47 p.m.