Triple
T12135962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wayland |
E289056
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Kristian Høgsberg |
E289056
|
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: Kristian Høgsberg | Statement: [Wayland, creator, Kristian Høgsberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kristian Høgsberg Context triple: [Wayland, creator, Kristian Høgsberg]
-
A.
Kristian Høgsberg
chosen
Kristian Høgsberg is a Danish software engineer best known as the original creator and lead developer of the Wayland display server protocol used in Linux and other Unix-like systems.
-
B.
Kristian Andersen
Kristian Andersen is a prominent Danish-American evolutionary biologist and infectious disease researcher known for his work on viral genomics and the origins and spread of emerging pathogens.
-
C.
Rasmus Hedegaard
Rasmus Hedegaard is a Danish DJ and music producer known for his electronic and pop-oriented remixes and collaborations.
-
D.
Soren Christensen
Soren Christensen is a writer best known for his work on the song "Love Generation."
-
E.
Rasmus Christensen
Rasmus Christensen is a Danish professional footballer known for playing as a defender in European club competitions.
- 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9158dd00c819082651891898b91bb |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62a81f6708190a6a215421f8ce8dd |
completed | May 2, 2026, 4:46 p.m. |
Created at: April 8, 2026, 9:49 p.m.