Triple
T7714661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Dark Tower (2017 film) |
E174850
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Nikolaj Arcel |
E683363
|
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: Nikolaj Arcel | Statement: [The Dark Tower (2017 film), screenwriter, Nikolaj Arcel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nikolaj Arcel Context triple: [The Dark Tower (2017 film), 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.
Nicolaj Monberg
Nicolaj Monberg is a film editor known for his work on the action thriller "Cold Pursuit."
-
C.
Nikolaj Lie Kaas
Nikolaj Lie Kaas is a Danish actor known for his versatile performances in both Scandinavian cinema and international films.
-
D.
Nikolaj Malchow-Møller
Nikolaj Malchow-Møller is a Danish economist and academic leader who serves as the rector of Copenhagen Business School.
-
E.
Fredrik Meltzer
Fredrik Meltzer was a Norwegian politician and merchant best known for creating the design of Norway’s national flag in the early 19th century.
- 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_69c6995c463c8190a14458036249d419 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702ca8f048190a6ea27b8cee2f93e |
completed | March 27, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b508fa2081908ed05ca8c4815249 |
completed | March 29, 2026, 5:13 a.m. |
Created at: March 27, 2026, 4:04 p.m.