Triple
T9468827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imi Knoebel |
E228340
|
entity |
| Predicate | givenName |
P17
|
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: [Imi Knoebel, givenName, Klaus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Klaus Context triple: [Imi Knoebel, givenName, 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.
Claus
Claus was the German-born Prince Consort of Queen Beatrix of the Netherlands, known formally as Prince Claus of the Netherlands.
-
D.
A Man Called Otto
A Man Called Otto is a 2022 American comedy-drama film starring Tom Hanks as a grumpy widower whose life is changed by his new neighbors, adapted from the Swedish novel and film "A Man Called Ove."
-
E.
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.
- 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_69ca846fee388190a6ec273fd644b88b |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7fdf604481909bf7d7d477230ca3 |
completed | April 1, 2026, 8:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d122c45ae88190a43d70300bed98da |
completed | April 4, 2026, 2:40 p.m. |
Created at: March 30, 2026, 7:53 p.m.