Triple
T15272054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Red Lantern (1919 film) |
E365043
|
entity |
| Predicate | starred |
P5563
|
FINISHED |
| Object | Frank Currier |
E378718
|
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: Frank Currier | Statement: [The Red Lantern (1919 film), starred, Frank Currier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frank Currier Context triple: [The Red Lantern (1919 film), starred, Frank Currier]
-
A.
Frank Currier
chosen
Frank Currier was an American character actor and director of the silent film era, known for his numerous supporting roles in early Hollywood productions.
-
B.
Henry Inman
Henry Inman was a prominent 19th-century American painter known for his portraits, genre scenes, and role in shaping early national art.
-
C.
William Sidney Mount
William Sidney Mount was a 19th-century American painter best known for his genre scenes depicting everyday rural life and social themes.
-
D.
Moody Currier
Moody Currier was a 19th-century American lawyer, banker, politician, and philanthropist from New Hampshire who served as governor and became a notable benefactor of the arts.
-
E.
Maynard Dixon
Maynard Dixon was an American artist best known for his modernist, atmospheric paintings of the American West and its landscapes, Native peoples, and working-class life.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00950a9988190b67dfbc73b8bdbbc |
completed | April 15, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee6046a088190a9ebea7672e36b73 |
completed | May 9, 2026, 7:45 a.m. |
Created at: April 10, 2026, 3:14 a.m.