Triple
T3275776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nils |
E68753
|
entity |
| Predicate | hasCognate |
P2525
|
FINISHED |
| Object | Klaus |
E103973
|
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: Klaus | Statement: [Nils, hasCognate, Klaus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Klaus Context triple: [Nils, hasCognate, Klaus]
-
A.
Klaus
chosen
Klaus is a masculine given name of German origin commonly used in German-speaking countries.
-
B.
Krampus
Krampus is a horned, demonic figure from Central European folklore who punishes misbehaving children during the Christmas season, often appearing alongside Saint Nicholas.
-
C.
Krampus (2015 film)
Krampus (2015 film) is a 2015 horror-comedy movie that blends dark folklore and holiday themes, following a dysfunctional family terrorized by the demonic Christmas figure Krampus.
-
D.
Isles of Wonder
Isles of Wonder was the theatrical, cinematic-themed opening ceremony of the London 2012 Olympic Games, directed by Danny Boyle and celebrating British history and culture.
-
E.
Luca
Luca is a 2021 Pixar animated film set on the Italian Riviera that follows a young sea monster experiencing a transformative summer on land.
- 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_69ad859b54f881909bf530d549caf2fd |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0110f1c8190ae60708b686cbbf9 |
completed | March 8, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2e8462a0c8190aba2330da6c49ecf |
completed | March 12, 2026, 4:22 p.m. |
Created at: March 8, 2026, 3:10 p.m.