Triple
T14681546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skarsgård family |
E344797
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Sam Skarsgård |
E1073568
|
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 Skarsgård | Statement: [Skarsgård family, hasMember, Sam Skarsgård]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sam Skarsgård Context triple: [Skarsgård family, hasMember, Sam Skarsgård]
-
A.
Sam Skarsgård
chosen
Sam Skarsgård is a Swedish physician and occasional actor from the prominent Skarsgård family of performers.
-
B.
Alexander Skarsgård
Alexander Skarsgård is a Swedish actor known for his roles in projects such as "True Blood," "Big Little Lies," and various major film and television productions.
-
C.
Bill Skarsgård
Bill Skarsgård is a Swedish actor best known internationally for his chilling portrayal of Pennywise the Dancing Clown in the horror film "It" (2017) and its sequel.
-
D.
Valter Skarsgård
Valter Skarsgård is a Swedish actor and member of the prominent Skarsgård acting family, known for roles in film and television.
-
E.
Stellan Skarsgård
Stellan Skarsgård is a Swedish actor known for his versatile performances in international films and television, including major roles in projects like "Good Will Hunting," "Chernobyl," and the "Pirates of the Caribbean" and "Dune" franchises.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb56a51ec8190941684fd562a7182 |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7cfd9d08190b5b95f6dc0a08537 |
completed | May 9, 2026, 4:28 a.m. |
Created at: April 10, 2026, 1:28 a.m.