Triple
T17272704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emma Hiddleston |
E419303
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Sarah Hiddleston |
—
|
NE NERFINISHED |
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: Sarah Hiddleston | Statement: [Emma Hiddleston, sibling, Sarah Hiddleston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarah Hiddleston Context triple: [Emma Hiddleston, sibling, Sarah Hiddleston]
-
A.
Sarah Hiddleston
chosen
Sarah Hiddleston is best known as the sister of British actor Tom Hiddleston.
-
B.
Tom Hiddleston
Tom Hiddleston is an English actor best known for his charismatic portrayal of Loki in the Marvel Cinematic Universe and for acclaimed performances in film, television, and theatre.
-
C.
Diana Patricia Hiddleston
Diana Patricia Hiddleston is the mother of English actor Tom Hiddleston.
-
D.
James Norman Hiddleston
James Norman Hiddleston is the father of British actor Tom Hiddleston and is known as a Scottish-born chemist and former managing director in the pharmaceutical industry.
-
E.
Emma Hiddleston
Emma Hiddleston is a British actress and the younger sister of actor Tom Hiddleston.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d886da626481908a14ce7830329a35 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42f4b023c8190b92df4015c14c3a8 |
completed | April 19, 2026, 1:26 a.m. |
Created at: April 10, 2026, 5:40 a.m.