Triple
T9213351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mads Nipper |
E221179
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Mads Nipper |
E221179
|
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: Mads Nipper | Statement: [Mads Nipper, name, Mads Nipper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mads Nipper Context triple: [Mads Nipper, name, Mads Nipper]
-
A.
Mads Nipper
chosen
Mads Nipper is a Danish business executive known for his leadership roles in major global companies and his advocacy for sustainable, purpose-driven business.
-
B.
Jesper Nøhr
Jesper Nøhr is a Danish software developer and entrepreneur best known for creating the code hosting platform Bitbucket.
-
C.
Nicolaj Monberg
Nicolaj Monberg is a film editor known for his work on the action thriller "Cold Pursuit."
-
D.
Peter Aalbæk Jensen
Peter Aalbæk Jensen is a Danish film producer and co-founder of the influential production company Zentropa, known for his collaborations with prominent directors such as Lars von Trier.
-
E.
Christian Møller
Christian Møller was a Danish theoretical physicist known for his contributions to quantum electrodynamics and the theory of relativity.
- 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_69ca83eae42c8190a0ea9e040710a277 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda05406081909893bec3a092d3ce |
completed | April 1, 2026, 8:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d09ba1d3488190b2c999204f0d545b |
completed | April 4, 2026, 5:03 a.m. |
Created at: March 30, 2026, 7:27 p.m.