Triple
T21992077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kate Banks |
E543114
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Georgie Banks |
—
|
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: Georgie Banks | Statement: [Kate Banks, relative, Georgie Banks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Georgie Banks Context triple: [Kate Banks, relative, Georgie Banks]
-
A.
Georgie Banks
chosen
Georgie Banks is a person known primarily for being a relative of Annabel Banks.
-
B.
Georgie Gaskin
Georgie Gaskin was an English Arts and Crafts designer and jeweller known for her delicate metalwork and contributions to early 20th-century decorative arts.
-
C.
Georgie
Georgie is a common diminutive form of the given name Georgiana, often used as a familiar or affectionate nickname.
-
D.
Georgie
Georgie is a character from the British romantic comedy film "Chalet Girl," which follows a former skateboarding champion working at an upscale ski resort.
-
E.
Georgie
Georgie is one of Alex's fellow teenage delinquents and a member of his violent gang in Anthony Burgess's dystopian novel "A Clockwork Orange."
- 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_69e0c48136b081908831fa907cc02e18 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1270e951081908deda039b47ca84b |
completed | April 28, 2026, 9:30 p.m. |
Created at: April 16, 2026, 8:05 p.m.