Triple
T17990602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Absent One |
E430359
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Nikolaj Arcel |
—
|
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: Nikolaj Arcel | Statement: [The Absent One, screenwriter, Nikolaj Arcel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nikolaj Arcel Context triple: [The Absent One, screenwriter, Nikolaj Arcel]
-
A.
Nikolaj Arcel
chosen
Nikolaj Arcel is a Danish filmmaker and screenwriter known for directing films such as "A Royal Affair" and the adaptation of Stephen King's "The Dark Tower."
-
B.
Nicolai Gädda
Nicolai Gädda is a renowned Swedish operatic tenor celebrated for his exceptional vocal technique, linguistic versatility, and extensive international recording and performance career in the mid-20th century.
-
C.
Nicolaj Monberg
Nicolaj Monberg is a film editor known for his work on the action thriller "Cold Pursuit."
-
D.
Nikolaj Ehlers
Nikolaj Ehlers is a Danish professional ice hockey winger known for his speed and scoring ability in the NHL with the Winnipeg Jets.
-
E.
Nikolaj Lie Kaas
Nikolaj Lie Kaas is a Danish actor known for his versatile performances in both Scandinavian cinema and international films.
- 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_69d8b90364248190a37381adea932f42 |
completed | April 10, 2026, 8:46 a.m. |
| NER | Named-entity recognition | batch_69e4b29f127c81908b0c4cb3787e002c |
completed | April 19, 2026, 10:46 a.m. |
Created at: April 10, 2026, 10:23 a.m.