Triple
T15460020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Laustsen |
E371872
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Laustsen |
E371872
|
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: Laustsen | Statement: [Dan Laustsen, familyName, Laustsen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laustsen Context triple: [Dan Laustsen, familyName, Laustsen]
-
A.
Laustsen
chosen
Laustsen is a Danish surname most notably associated with acclaimed cinematographer Dan Laustsen.
-
B.
Lársen
Lársen is a variant spelling of the surname Larsen, a common Scandinavian family name typically meaning "son of Lars."
-
C.
Arestrup
Arestrup is a Danish-origin surname most notably borne by acclaimed French actor and screenwriter Niels Arestrup.
-
D.
Minskov
Minskov is a supporting character in the French crime drama film "The Beat That My Heart Skipped," involved in the criminal underworld that complicates the protagonist's life.
-
E.
Vigerslev
Vigerslev is a neighborhood within the Valby district of Copenhagen, Denmark, known primarily as a residential area with local amenities and transport links.
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f17663c8190b995c7c3129c90d6 |
completed | April 16, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21b9817c819082e5c571b08bafb5 |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:32 a.m.