Triple
T15483860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kate O'Mara |
E376991
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Kate O'Mara |
E376991
|
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: Kate O'Mara | Statement: [Kate O'Mara, name, Kate O'Mara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kate O'Mara Context triple: [Kate O'Mara, name, Kate O'Mara]
-
A.
Kate O'Mara
chosen
Kate O'Mara was a British actress best known for her glamorous, often villainous roles in television dramas such as Dynasty and Doctor Who.
-
B.
Angela Pleasence
Angela Pleasence is an English actress known for her work in film, television, and theatre, and as the daughter of actor Donald Pleasence.
-
C.
Debra Paget
Debra Paget is an American actress best known for her roles in 1950s Hollywood epics and adventure films, including prominent performances in movies like "The Ten Commandments" and "Love Me Tender."
-
D.
Eleanor Bron
Eleanor Bron is a British actress and writer known for her distinctive, often imperious screen presence in film, television, and theatre.
-
E.
Rita Tushingham
Rita Tushingham is an English actress known for her distinctive, wide-eyed look and acclaimed performances in 1960s British cinema, including key roles in films of the British New Wave.
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f8e6ff08190b130b3a38f4190e7 |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff365b3980819094d3ca0b7766009c |
completed | May 9, 2026, 1:27 p.m. |
Created at: April 10, 2026, 3:45 a.m.