Triple
T17640241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turn to the Right |
E429203
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | George Nichols |
—
|
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: George Nichols | Statement: [Turn to the Right, starring, George Nichols]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Nichols Context triple: [Turn to the Right, starring, George Nichols]
-
A.
George Nichols
George Nichols was a 19th-century American publisher known for issuing notable literary works, including influential satirical and poetic writings.
-
B.
George Nichols
chosen
George Nichols was an American actor and film director active during the silent film era.
-
C.
George Nichols Jr.
George Nichols Jr. is a film editor known for his work on the 1929 movie "Applause," one of the early sound-era classics.
-
D.
Herbert Nichols
Herbert Nichols was an American psychologist and academic known for his early work in experimental psychology and contributions to the development of psychological laboratories in the United States.
-
E.
Robert Nichols
Robert Nichols is a relatively common personal name shared by multiple notable individuals across fields such as literature, politics, and the arts.
- 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_69d889e2c2608190b762e76d9b2262f1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46de50bf481909e938613b38f0202 |
completed | April 19, 2026, 5:53 a.m. |
Created at: April 10, 2026, 6:02 a.m.