Triple
T23101285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Castle |
E576036
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Sophie Lee |
—
|
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: Sophie Lee | Statement: [The Castle, portrayedBy, Sophie Lee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sophie Lee Context triple: [The Castle, portrayedBy, Sophie Lee]
-
A.
Sophie Lee
chosen
Sophie Lee is an Australian actress and television presenter known for her roles in films such as "Muriel's Wedding" and various Australian TV programs.
-
B.
Sophie Morgan
Sophie Morgan is a British television presenter, disability rights advocate, and artist known for her work on inclusive media and representation of disabled people.
-
C.
Sophie Straw
Sophie Straw is the charismatic, working-class young woman who becomes a groundbreaking television comedy star in Nick Hornby’s novel "Funny Girl."
-
D.
Sophie Stewart
Sophie Stewart was a Scottish stage and film actress active in the 1930s and 1940s, known for her roles in British cinema and theatre.
-
E.
Sophie Roy
Sophie Roy is a minor character in the television series "Succession," known as one of Kendall Roy's children in the Roy family dynasty.
- 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_69e245c060b48190a9bd61a47a16db17 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18de8c5b4819095cddf989cade60d |
completed | April 29, 2026, 4:49 a.m. |
Created at: April 17, 2026, 3:58 p.m.