Triple
T15310815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meantime |
E366030
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Roger Pratt |
E335683
|
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: Roger Pratt | Statement: [Meantime, cinematographyBy, Roger Pratt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roger Pratt Context triple: [Meantime, cinematographyBy, Roger Pratt]
-
A.
Roger Pratt
chosen
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.
-
B.
Roger Pratt
Roger Pratt was a 17th-century English architect known for helping introduce classical Palladian design principles into English country house architecture.
-
C.
Peter Pratt
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.
-
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.
David Pratt
David Pratt is known as the husband of Kyle Pratt.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03cd176708190b0f6ba17aed92f8e |
completed | April 16, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001799fbac8190b75a48a8c63e3381 |
completed | May 10, 2026, 5:28 a.m. |
Created at: April 10, 2026, 3:16 a.m.