Triple
T23017992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Woman in Green |
E573084
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Henry Daniell |
—
|
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: Henry Daniell | Statement: [The Woman in Green, starring, Henry Daniell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henry Daniell Context triple: [The Woman in Green, starring, Henry Daniell]
-
A.
Henry Daniell
chosen
Henry Daniell was a British character actor renowned for his many villainous and aristocratic roles in classic Hollywood films of the 1930s and 1940s.
-
B.
Charles Dobell
Charles Dobell was a Canadian-born British Army general noted for his service in colonial campaigns and the First World War, particularly in the Middle Eastern theatre.
-
C.
George Davison
George Davison is an Anglican bishop who serves as a senior cleric in the Church of Ireland.
-
D.
Edward Walson
Edward Walson is a film producer known for working on projects such as Woody Allen’s romantic comedy "Magic in the Moonlight."
-
E.
Charles Henry Daniel
Charles Henry Daniel is the birth name of Henry Daniell, a British actor known for his refined villainous roles in classic Hollywood films.
- 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_69e245b764cc8190a51be76f1d9611e1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f183e64a4c8190b8d29ed638c7fef8 |
completed | April 29, 2026, 4:07 a.m. |
Created at: April 17, 2026, 3:52 p.m.