Triple
T11140427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katharina |
E263534
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object | Katrin |
E58213
|
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: Katrin | Statement: [Katharina, relatedName, Katrin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katrin Context triple: [Katharina, relatedName, Katrin]
-
A.
Katrin
chosen
Katrin is a feminine given name, commonly used in various European countries, that is a variant of the name Catherine.
-
B.
Katja
Katja is a diminutive or short form of the given name Katarina, commonly used in various Slavic and European languages.
-
C.
Kerstin
Kerstin is a feminine given name of Scandinavian origin, particularly common in Sweden and other Nordic countries.
-
D.
Katrin Houben
Katrin Houben is an individual notable enough to be recognized as a namesake or prominent bearer of the surname Houben.
-
E.
Katarina Egermann
Katarina Egermann is a central fictional figure in Ingmar Bergman’s film "From the Life of the Marionettes," around whose troubled marriage and psychological turmoil the story revolves.
- 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_69d6aa9c0ba08190bbd19c217489b755 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e860ca408190bea461e115f04fd7 |
completed | April 9, 2026, 5:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e463177bfc81908a3e66ffc0777777 |
completed | April 19, 2026, 5:07 a.m. |
Created at: April 8, 2026, 9:28 p.m.