Triple
T13732641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jens Kidman |
E329847
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jens Kidman |
E329847
|
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: Jens Kidman | Statement: [Jens Kidman, name, Jens Kidman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jens Kidman Context triple: [Jens Kidman, name, Jens Kidman]
-
A.
Jens Kidman
chosen
Jens Kidman is a Swedish musician best known as the lead vocalist and founding member of the influential extreme metal band Meshuggah.
-
B.
Kim Christensen
Kim Christensen is a Danish former professional football goalkeeper known for his career in the Danish Superliga and the Swedish Allsvenskan.
-
C.
Juli Kidman
Juli Kidman is a central character in The Evil Within survival horror video game series, known as a mysterious detective with hidden motives and a complex connection to the STEM system.
-
D.
Kim Roentved
Kim Roentved is a Danish former professional soccer player best known as a star defender in the Major Indoor Soccer League during the 1980s and 1990s.
-
E.
Iben Hjejle
Iben Hjejle is a Danish actress best known internationally for her role opposite John Cusack in the romantic comedy-drama film "High Fidelity."
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de0201d3c48190aa306be231a28bc1 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d65062c819086a5f7a7ebc45412 |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:55 p.m.