Triple
T13384423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Neon Demon |
E319402
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Lene Børglum |
E913244
|
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: Lene Børglum | Statement: [The Neon Demon, producer, Lene Børglum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lene Børglum Context triple: [The Neon Demon, producer, Lene Børglum]
-
A.
Lene Børglum
chosen
Lene Børglum is a Danish film producer known for her collaborations with director Nicolas Winding Refn on several acclaimed independent films.
-
B.
Lene Christensen
Lene Christensen is a Danish professional football goalkeeper known for playing in the Danish national team setup and in top-tier European women’s club football.
-
C.
Birgitte Hjort Sørensen
Birgitte Hjort Sørensen is a Danish actress known for her roles in the political drama series "Borgen" and various international film and television productions.
-
D.
Lene Andersen
Lene Andersen is a Danish author and futurist known for her work on democracy, ethics, and societal development.
-
E.
Vibeke Windeløv
Vibeke Windeløv is a Danish film producer best known for her long-time collaboration with director Lars von Trier on several acclaimed art-house films.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadce80158819082156eaeaeda3bd8 |
completed | April 11, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7268cf04c8190a35fd48ce81c149e |
completed | May 3, 2026, 10:42 a.m. |
Created at: April 9, 2026, 9:33 p.m.