Triple
T22225355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Into the Storm |
E549323
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Robert Pugh |
—
|
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: Robert Pugh | Statement: [Into the Storm, starring, Robert Pugh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Pugh Context triple: [Into the Storm, starring, Robert Pugh]
-
A.
Robert Pugh
chosen
Robert Pugh is a Welsh actor known for his extensive work in British film and television, including roles in series such as "Game of Thrones" and "Doctor Who."
-
B.
Martin Pugh
Martin Pugh is a British historian known for his influential works on modern British political and social history, including studies of the Labour Party, feminism, and interwar politics.
-
C.
Cecil Poynton
Cecil Poynton was an English footballer and long-serving full-back for Tottenham Hotspur during the early 20th century.
-
D.
Peter Crompton
Peter Crompton was a British physician and intellectual active in late 18th- and early 19th-century England, known for his involvement in scientific and reformist circles.
-
E.
Robert Hutton
Robert Hutton was an American film and television actor active from the 1940s through the 1970s, known for his roles in war dramas, science fiction, and comedies.
- 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_69e11e403d6481909a94d0aaf157f6ef |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b93e2208190aee70ffd82962ea0 |
completed | April 28, 2026, 9:50 p.m. |
Created at: April 16, 2026, 8:37 p.m.