Triple
T22094044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Life as a Dog |
E545978
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Anki Lidén |
—
|
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: Anki Lidén | Statement: [My Life as a Dog, starring, Anki Lidén]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anki Lidén Context triple: [My Life as a Dog, starring, Anki Lidén]
-
A.
Anki Lidén
chosen
Anki Lidén is a Swedish actress known for her extensive work in film, television, and theater, and as the mother of the late DJ and producer Avicii.
-
B.
Ylva Johansson
Ylva Johansson is a Swedish politician who has served as European Commissioner for Home Affairs and previously held several ministerial posts in the Swedish government.
-
C.
Lina Leandersson
Lina Leandersson is a Swedish actress best known for her acclaimed performance as the child vampire Eli in the 2008 horror film "Let the Right One In."
-
D.
Mina Sundwall
Mina Sundwall is an American actress best known for playing Penny Robinson in the Netflix science fiction series "Lost in Space."
-
E.
Emma Andersson
Emma Andersson is known as the spouse of Swedish ice hockey star Henrik Zetterberg.
- 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_69e11e36d03c8190a83a1ba802b7231b |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128e766388190aad1039fe0849771 |
completed | April 28, 2026, 9:38 p.m. |
Created at: April 16, 2026, 8:29 p.m.