Triple
T6795792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Outlander |
E156049
|
entity |
| Predicate | leadActor |
P1507
|
FINISHED |
| Object | Caitríona Balfe |
E149442
|
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: Caitríona Balfe | Statement: [Outlander, leadActor, Caitríona Balfe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caitríona Balfe Context triple: [Outlander, leadActor, Caitríona Balfe]
-
A.
Caitriona Balfe
chosen
Caitriona Balfe is an Irish actress and former fashion model best known for her lead role as Claire Fraser in the television series "Outlander."
-
B.
Gillian Murphy
Gillian Murphy is a renowned American ballet dancer and longtime principal with American Ballet Theatre, celebrated for her powerful technique and dramatic artistry.
-
C.
Lena Headey
Lena Headey is an English actress best known for playing Cersei Lannister in the television series "Game of Thrones."
-
D.
Tessa Menzies
Tessa Menzies is a child of California politician and governor Gavin Newsom.
-
E.
Nathalie Emmanuel
Nathalie Emmanuel is a British actress best known for her roles as Missandei in "Game of Thrones" and Ramsey in the "Fast & Furious" film franchise.
- 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_69c6881844448190a65822d9b39d7f88 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2c6e7dc8190b1f33372d047baba |
completed | March 27, 2026, 6:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71a9354448190890846c2e84bb22c |
completed | March 28, 2026, 12:02 a.m. |
Created at: March 27, 2026, 2:15 p.m.