Triple
T16147083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam Heughan |
E391810
|
entity |
| Predicate | coStarredWith |
P14987
|
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: [Sam Heughan, coStarredWith, Caitríona Balfe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caitríona Balfe Context triple: [Sam Heughan, coStarredWith, 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.
Siobhan Finneran
Siobhan Finneran is an English actress known for her versatile roles in television dramas such as Downton Abbey, Happy Valley, and Benidorm.
-
C.
Katie Finneran
Katie Finneran is an American actress best known for her Tony Award–winning performances on Broadway and her work in television comedies and dramas.
-
D.
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.
-
E.
Lena Headey
Lena Headey is an English actress best known for playing Cersei Lannister in the television series "Game of Thrones."
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21d947e68819081b4b7c757ce71b6 |
completed | April 17, 2026, 11:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7a7dc3481909f933acd72d6feff |
completed | May 10, 2026, 3:12 a.m. |
Created at: April 10, 2026, 5:01 a.m.