Triple
T10465464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | An Education |
E246782
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Cara Seymour |
E762754
|
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: Cara Seymour | Statement: [An Education, castMember, Cara Seymour]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cara Seymour Context triple: [An Education, castMember, Cara Seymour]
-
A.
Cara Seymour
chosen
Cara Seymour is a British actress known for her character roles in film and television, including her prominent part in the period medical drama series "The Knick."
-
B.
Laura Devon
Laura Devon was an American actress and singer active in film and television during the 1960s.
-
C.
Kathryn Erbe
Kathryn Erbe is an American actress best known for her role as Detective Alexandra Eames on the television series "Law & Order: Criminal Intent."
-
D.
Kathleen Burke
Kathleen Burke was an American actress best known for her iconic role as Lota the Panther Woman in the 1932 horror film "Island of Lost Souls."
-
E.
Hattie Shaw
Hattie Shaw is a skilled MI6 field agent and the sister of Deckard Shaw in the Fast & Furious franchise, prominently featured in "Fast & Furious Presents: Hobbs & Shaw."
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50886c2a8819086da6c08356ec6bf |
completed | April 7, 2026, 1:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbacad75b8819090657ab4335cebbc |
completed | April 12, 2026, 2:31 p.m. |
Created at: April 6, 2026, 12:19 p.m.