Triple
T4989289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben Whishaw |
E112088
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Paddington |
E245028
|
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: Paddington | Statement: [Ben Whishaw, notableWork, Paddington]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paddington Context triple: [Ben Whishaw, notableWork, Paddington]
-
A.
Paddington
Paddington is a central London district best known for its major railway station, historic canal basin, and association with the fictional Paddington Bear.
-
B.
Paddington Bear
Paddington Bear is a beloved fictional bear from Peru who wears a duffle coat and hat, loves marmalade sandwiches, and stars in a long-running series of children's books and film adaptations set in London.
-
C.
Paddington (2014 film)
chosen
Paddington (2014 film) is a British family comedy based on Michael Bond’s beloved bear character, following a young Peruvian bear’s misadventures in London after being adopted by the Brown family.
-
D.
Paddington 2
Paddington 2 is a critically acclaimed 2017 family comedy film about the beloved bear Paddington, celebrated for its warmth, humor, and inventive storytelling.
-
E.
Mr. Plod
Mr. Plod is the bumbling village policeman character from Enid Blyton’s Noddy stories, known for trying to keep order in Toyland.
- 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_69bd441be7bc8190b530362d427b97d2 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd727eae1c819085e5548faadbd162 |
completed | March 20, 2026, 4:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be8a2496a48190a517c92b85834db9 |
completed | March 21, 2026, 12:08 p.m. |
Created at: March 20, 2026, 1:34 p.m.