Triple
T8948377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patricia Knox |
E213280
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Patricia Knox |
E213280
|
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: Patricia Knox | Statement: [Patricia Knox, name, Patricia Knox]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patricia Knox Context triple: [Patricia Knox, name, Patricia Knox]
-
A.
Patricia Knox
chosen
Patricia Knox is a person notable enough to be recognized as a bearer of the surname Knox.
-
B.
Ann Knox
Ann Knox was the wife of British actor Henry Daniell, known for his numerous film and stage roles in the early to mid-20th century.
-
C.
Pamela Chamberlain
Pamela Chamberlain is a notable individual who shares the Chamberlain surname, though specific widely recognized biographical details about her are not well documented in major public sources.
-
D.
Catherine Balk
Catherine Balk is the mother of American actress Fairuza Balk, known for her work in film and television.
-
E.
Patricia Kerrigan
Patricia Kerrigan is an actress known for her role in the biographical film "Miss Potter" about author Beatrix Potter.
- 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_69ca839843408190a39069a029a89f15 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6709c7a48190ab503083a1d6a29f |
completed | April 1, 2026, 12:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc2022e30819089ba08f494a3a66f |
completed | April 3, 2026, 1:34 p.m. |
Created at: March 30, 2026, 6:59 p.m.