Triple
T19536282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goldfinger |
E488774
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Shirley Eaton |
—
|
NE NERFINISHED |
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: Shirley Eaton | Statement: [Goldfinger, starring, Shirley Eaton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shirley Eaton Context triple: [Goldfinger, starring, Shirley Eaton]
-
A.
Shirley Eaton
chosen
Shirley Eaton is a British actress best known for her iconic role as the gold-painted Bond girl Jill Masterson in the 1964 film "Goldfinger."
-
B.
Natasha Wightman
Natasha Wightman is a British actress best known for her role in the dystopian political thriller film "V for Vendetta."
-
C.
Diana Dors
Diana Dors was a British actress and sex symbol of the 1950s and 1960s, known for her glamorous image and roles in film and television.
-
D.
Pat Farrah
Pat Farrah is an American retail executive best known as a co-founder of The Home Depot and a key architect of the big-box home improvement store concept.
-
E.
Lorraine Kirke
Lorraine Kirke is a British-born New York boutique owner and costume designer known for her bohemian fashion aesthetic and as the mother of actress Jemima Kirke.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6386f0fac819081bbc29172c8965e |
completed | April 20, 2026, 2:30 p.m. |
Created at: April 10, 2026, 1:41 p.m.