Triple
T21764340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Impromptu |
E537238
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Julian Sands |
—
|
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: Julian Sands | Statement: [Impromptu, stars, Julian Sands]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julian Sands Context triple: [Impromptu, stars, Julian Sands]
-
A.
Julian Sands
chosen
Julian Sands was an English actor known for his distinctive presence in films such as "A Room with a View," "Warlock," and "The Killing Fields."
-
B.
Anthony Calf
Anthony Calf is a British actor known for his extensive work in television, film, and theatre, including roles in series such as "New Tricks" and "Holby City."
-
C.
Christopher Atkins
Christopher Atkins is an American actor best known for his breakout role in the 1980 film "The Blue Lagoon."
-
D.
Dorian Harewood
Dorian Harewood is an American actor known for his work in film, television, and voice acting, including roles in projects such as Full Metal Jacket and the animated series Batman.
-
E.
Daniel Portman
Daniel Portman is a Scottish actor best known for playing Podrick Payne in the television series Game of Thrones.
- 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_69e0c46f5d1c8190bf830409e98464e5 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f031a8a7f08190a4e50ebc24219585 |
completed | April 28, 2026, 4:03 a.m. |
Created at: April 16, 2026, 6:51 p.m.