Triple
T15625068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calendar Girls |
E375657
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Linda Bassett |
E1424095
|
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: Linda Bassett | Statement: [Calendar Girls, starring, Linda Bassett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linda Bassett Context triple: [Calendar Girls, starring, Linda Bassett]
-
A.
Linda Bassett
chosen
Linda Bassett is an English actress known for her work in film, television, and theatre, including notable roles in productions such as "Call the Midwife" and "East Is East."
-
B.
Linda Banwell
Linda Banwell is best known as the wife of the late English actor and director Bob Hoskins.
-
C.
Linda Larkin
Linda Larkin is an American actress best known for providing the speaking voice of Princess Jasmine in Disney’s animated film "Aladdin" and its related media.
-
D.
Linda Oswald
Linda Oswald is a relative of Clara Oswald, a central companion character from the British science fiction television series Doctor Who.
-
E.
Lorraine Baines
Lorraine Baines is a central character in the "Back to the Future" film series, best known as Marty McFly’s mother whose teenage life in 1955 becomes the focus of his time-traveling adventures.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e9e5e248190ae54cda1fde51efb |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0965c74be4819092c3bdbc2ac36aff |
completed | May 17, 2026, 6:52 a.m. |
Created at: April 10, 2026, 4:14 a.m.