Triple
T20784697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Green Years |
E511597
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | Victor Saville |
—
|
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: Victor Saville | Statement: [The Green Years, director, Victor Saville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Victor Saville Context triple: [The Green Years, director, Victor Saville]
-
A.
Victor Saville
chosen
Victor Saville was a British film director and producer known for his work in both the UK and Hollywood during the early to mid-20th century.
-
B.
Edward Laughton
Edward Laughton was an American character actor best known for his numerous supporting and comedic roles in Columbia Pictures films during the 1930s and 1940s.
-
C.
George Levick
George Levick was a British Royal Navy surgeon, Antarctic explorer, and photographer best known for his role in Scott’s Terra Nova Expedition and his pioneering observations of penguin behavior.
-
D.
Ernest Sefton
Ernest Sefton was an author whose work inspired the film "The Clairvoyant."
-
E.
Philip Stainton
Philip Stainton was a British character actor known for his supporting roles in mid-20th-century films, including the adventure drama "Mogambo."
- 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_69e0b4cac7a48190a715cb3d545df2b4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c28b4ce88190a45f1c99b58d18eb |
completed | April 21, 2026, 12:19 a.m. |
Created at: April 16, 2026, 12:38 p.m.