Triple
T10886070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sisse Graum Jørgensen |
E257048
|
entity |
| Predicate | produced |
P490
|
FINISHED |
| Object | A Royal Affair |
E467392
|
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: A Royal Affair | Statement: [Sisse Graum Jørgensen, produced, A Royal Affair]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A Royal Affair Context triple: [Sisse Graum Jørgensen, produced, A Royal Affair]
-
A.
A Royal Affair
chosen
A Royal Affair is a 2012 historical drama film about a forbidden romance at the Danish court, starring Alicia Vikander and Mads Mikkelsen.
-
B.
Borgen
Borgen is a small village in Ullensaker municipality in Viken county, Norway.
-
C.
The Royal Treatment
The Royal Treatment is a 2022 romantic comedy film about a New York hairdresser who travels to style a prince’s wedding, only for unexpected romance to blossom.
-
D.
The Favourite
The Favourite is a 2018 darkly comic historical drama film directed by Yorgos Lanthimos, centered on political and personal rivalries in the court of Queen Anne in early 18th-century England.
-
E.
The Royal
The Royal is a British television drama series set in a 1960s seaside hospital, known as a spin-off from the long-running show Heartbeat.
- 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_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d751dea1a88190b916879be8d74413 |
completed | April 9, 2026, 7:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff7ecf1c48190aef0d31ef03d1f88 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 8, 2026, 9:21 p.m.