Triple
T8368035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emily Watson |
E197382
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Miss Potter |
E121584
|
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: Miss Potter | Statement: [Emily Watson, notableWork, Miss Potter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miss Potter Context triple: [Emily Watson, notableWork, Miss Potter]
-
A.
Miss Potter (2006 film)
chosen
Miss Potter (2006 film) is a biographical drama about children's author and illustrator Beatrix Potter, starring Renée Zellweger and Ewan McGregor.
-
B.
Potter to Her Majesty
Potter to Her Majesty is an honorary royal warrant-style designation granted to a distinguished ceramics manufacturer serving the British monarch.
-
C.
Alice in Widows
Alice in Widows is a vulnerable yet increasingly empowered young widow who becomes a key member of a heist crew in the crime thriller film "Widows."
-
D.
Nanny and the Professor
Nanny and the Professor is an early-1970s American sitcom about a magical British nanny who brings order and whimsy to a widowed professor’s household and his three children.
-
E.
Muff Potter
Muff Potter is a hapless, kind-hearted but often drunk vagrant and accused murderer in Mark Twain’s novel "The Adventures of Tom Sawyer."
- 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_69ca82f56730819080cec5d991c76f4c |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb808e56fc81908b5d37482f29452d |
completed | March 31, 2026, 8:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc7929e388190b35505378d0cf653 |
completed | April 2, 2026, 1:34 a.m. |
Created at: March 30, 2026, 6:01 p.m.