Triple
T22101549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Champagne Charlie |
E546182
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Jean Kent |
—
|
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: Jean Kent | Statement: [Champagne Charlie, stars, Jean Kent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean Kent Context triple: [Champagne Charlie, stars, Jean Kent]
-
A.
Jean Kent
chosen
Jean Kent was a British film and television actress best known for her work in 1940s and 1950s cinema, particularly in melodramas and crime dramas.
-
B.
Sheila Kent
Sheila Kent is known as the wife of English actor David Warner.
-
C.
Jennifer Kingsley
Jennifer Kingsley is a fictional character featured in the work "The Brothers."
-
D.
Faith Kent
Faith Kent is a British actress known for her work in film, television, and theatre, and as the mother of actress Phoebe Nicholls.
-
E.
Sarah Kenton
Sarah Kenton is the given full name of the fictional character known as Miss Kenton.
- 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129163b908190b63ace06016f4db8 |
completed | April 28, 2026, 9:39 p.m. |
Created at: April 16, 2026, 8:30 p.m.