Triple
T15927455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zardoz |
E386238
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Charlotte Rampling |
E227858
|
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: Charlotte Rampling | Statement: [Zardoz, starring, Charlotte Rampling]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charlotte Rampling Context triple: [Zardoz, starring, Charlotte Rampling]
-
A.
Charlotte Rampling
chosen
Charlotte Rampling is an acclaimed English actress known for her intense, enigmatic performances in European art-house cinema and major international films.
-
B.
Caroline Huppert
Caroline Huppert is a French film and television director known for her work in French cinema and as the sister of actress Isabelle Huppert.
-
C.
Janet McTeer
Janet McTeer is an acclaimed English actress known for her powerful stage and screen performances, including award-winning roles in film, television, and theatre.
-
D.
Vanessa Redgrave
Vanessa Redgrave is an acclaimed English actress known for her powerful performances in film, television, and theatre, and for being one of the most respected performers of her generation.
-
E.
Helen Mirren
Helen Mirren is an acclaimed British actress renowned for her versatile performances in film, television, and theatre, including her Academy Award–winning portrayal of Queen Elizabeth II in "The Queen."
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156872964819083a2fb9f86df61ba |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe727c348190907c9e7a5db6031d |
completed | May 9, 2026, 11:08 p.m. |
Created at: April 10, 2026, 4:52 a.m.