Triple
T15711893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Only God Forgives |
E380858
|
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: [Only God Forgives, producer, Lene Børglum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lene Børglum Context triple: [Only God Forgives, 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 Bausager
Lene Bausager is a film producer best known for her work on the Academy Award–nominated short film "Cashback."
-
C.
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.
-
D.
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.
-
E.
Lene Andersen
Lene Andersen is a Danish author and futurist known for her work on democracy, ethics, and societal development.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f8f5d6081908243fa59b46b7c76 |
completed | April 16, 2026, 2:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff757f571881908015fe68df2a5e69 |
completed | May 9, 2026, 5:57 p.m. |
Created at: April 10, 2026, 4:45 a.m.