Triple
T14615474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carl Jacobsen |
E343074
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Carl Jacobsen |
E343074
|
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: Carl Jacobsen | Statement: [Carl Jacobsen, name, Carl Jacobsen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carl Jacobsen Context triple: [Carl Jacobsen, name, Carl Jacobsen]
-
A.
Carl Jacobsen
chosen
Carl Jacobsen was a Danish brewer and art patron best known for his extensive cultural philanthropy and contributions to Copenhagen’s public art.
-
B.
Jens Ferdinand Willumsen
Jens Ferdinand Willumsen was a Danish painter, sculptor, and architect known for his symbolist and expressionist works that helped shape modern art in Denmark.
-
C.
Joachim Andersen
Joachim Andersen is a Danish professional footballer known as a central defender who has played in top European leagues and for the Denmark national team.
-
D.
Henrik Schyffert
Henrik Schyffert is a Swedish comedian, actor, and director known for his influential work in television, film, and stand-up comedy.
-
E.
Vilhelm Thomsen
Vilhelm Thomsen was a Danish linguist and philologist renowned for his pioneering work in comparative linguistics and the study of Turkic and Indo-European languages.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb45264988190a1df13e8b54a85bd |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde16c005c81908b54fcfd4243d820 |
completed | May 8, 2026, 1:13 p.m. |
Created at: April 10, 2026, 1:25 a.m.