Triple
T6795793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Outlander |
E156049
|
entity |
| Predicate | leadActor |
P1507
|
FINISHED |
| Object | Sam Heughan |
E391810
|
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: Sam Heughan | Statement: [Outlander, leadActor, Sam Heughan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sam Heughan Context triple: [Outlander, leadActor, Sam Heughan]
-
A.
Sam Heughan
chosen
Sam Heughan is a Scottish actor best known for his leading role as Jamie Fraser in the television series "Outlander."
-
B.
Angus Cloud
Angus Cloud was an American actor best known for his breakout role as the lovable drug dealer Fezco on HBO's teen drama series "Euphoria."
-
C.
Liam McIntyre
Liam McIntyre is an Australian actor best known for playing the title role in the television series "Spartacus" following Andy Whitfield’s departure.
-
D.
Travis Fimmel
Travis Fimmel is an Australian actor and former model best known for his lead role as Ragnar Lothbrok in the television series "Vikings."
-
E.
Ben McKenzie
Ben McKenzie is an American actor best known for his leading roles on the television series The O.C. and Gotham.
- 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.