Triple
T21824236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moll Flanders (1965 film) |
E538807
|
entity |
| Predicate | starred |
P5563
|
FINISHED |
| Object | Richard Johnson |
—
|
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: Richard Johnson | Statement: [Moll Flanders (1965 film), starred, Richard Johnson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard Johnson Context triple: [Moll Flanders (1965 film), starred, Richard Johnson]
-
A.
Richard Johnson
chosen
Richard Johnson was a British actor known for his work in mid-20th-century film and television, including prominent roles in war and horror movies.
-
B.
Richard Johnson
Richard Johnson is an Australian architect best known for designing prominent public and cultural buildings, including major national institutions.
-
C.
Richard Johnson
Richard Johnson is the husband of Francesca Johnson, a character in the romantic drama "The Bridges of Madison County."
-
D.
Bruce Douglas Johnson
Bruce Douglas Johnson is a cinematographer best known for his work on the stoner comedy film "Harold & Kumar Go to White Castle."
-
E.
Alex Johnson
Alex Johnson is a musician best known as a member of the Canadian rock band Big Sugar.
- 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_69e0c475038c8190abb9b1a20eb8ff50 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f091307d408190a92b65c3f39682a8 |
completed | April 28, 2026, 10:51 a.m. |
Created at: April 16, 2026, 6:54 p.m.