Triple
T21715977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Cruel Sea |
E536028
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Moira Lister |
—
|
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: Moira Lister | Statement: [The Cruel Sea, castMember, Moira Lister]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moira Lister Context triple: [The Cruel Sea, castMember, Moira Lister]
-
A.
Moira Lister
chosen
Moira Lister was a South African-born British actress known for her work in mid-20th-century film, theatre, and radio comedy.
-
B.
Sian Clifford
Sian Clifford is a British actress best known for her BAFTA-winning role as Claire in the acclaimed television series "Fleabag."
-
C.
Joanne Froggatt
Joanne Froggatt is an English actress best known for her award-winning role as Anna Bates in the television series "Downton Abbey."
-
D.
Laura Carmichael
Laura Carmichael is a British actress best known for her role as Lady Edith Crawley in the television series "Downton Abbey."
-
E.
Rachel Daly
Rachel Daly is an English professional footballer known for her versatility as both a forward and defender, with a prominent club career in the NWSL and WSL and regular appearances for the England national team.
- 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd96ab4c88190b76f4a6b7c855039 |
completed | April 27, 2026, 9:47 p.m. |
Created at: April 16, 2026, 6:47 p.m.