Triple
T14276435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Deadly Assassin |
E353926
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Peter Pratt |
E183811
|
NE FINISHED |
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: Peter Pratt | Statement: [The Deadly Assassin, stars, Peter Pratt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Pratt Context triple: [The Deadly Assassin, stars, Peter Pratt]
-
A.
Peter Pratt
chosen
Peter Pratt was a British actor best known to Doctor Who fans for his chilling portrayal of the villainous Time Lord known as the Master.
-
B.
Roger Pratt
Roger Pratt is a British cinematographer known for his work on major films such as "Brazil," "Batman," and several entries in the "Harry Potter" series.
-
C.
David Pratt
David Pratt is known as the husband of Kyle Pratt.
-
D.
Daniel Pratt
Daniel Pratt was a 19th-century American industrialist and cotton gin manufacturer who became one of Alabama’s leading entrepreneurs and the founder of the town of Prattville.
-
E.
Grahame Pratt
Grahame Pratt is an Australian-born actor and producer best known as the longtime husband and manager of American singer and actress Leslie Uggams.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6583f0ec81909ebfc7a2c6351ff8 |
completed | April 14, 2026, 4:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d1884f481908ea266c1651c4b59 |
completed | May 8, 2026, 1:32 a.m. |
Created at: April 10, 2026, 1:10 a.m.