Triple
T15199298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Happy Prince |
E363221
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Anna Chancellor |
E868914
|
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: Anna Chancellor | Statement: [The Happy Prince, castMember, Anna Chancellor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anna Chancellor Context triple: [The Happy Prince, castMember, Anna Chancellor]
-
A.
Anna Chancellor
chosen
Anna Chancellor is a British actress known for her work in film, television, and theatre, including notable roles in productions such as "Four Weddings and a Funeral" and various acclaimed TV dramas.
-
B.
Catherine Craig
Catherine Craig was an American film actress active in the 1940s, known for her supporting roles in Hollywood productions.
-
C.
Eleanor Bron
Eleanor Bron is a British actress and writer known for her distinctive, often imperious screen presence in film, television, and theatre.
-
D.
Anna Massey
Anna Massey was an acclaimed English actress known for her nuanced performances in film, television, and theatre, including notable roles in psychological dramas and literary adaptations.
-
E.
Lesley Garrett
Lesley Garrett is an English soprano and media personality known for her operatic performances and popular classical crossover work.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006b476208190a5119710c518bb1f |
completed | April 15, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa92b99c48190b76e1306cf32a568 |
completed | May 9, 2026, 9:37 p.m. |
Created at: April 10, 2026, 3:10 a.m.