Triple
T8799140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liesl |
E209356
|
entity |
| Predicate | nameVariantOf |
P39
|
FINISHED |
| Object | Lieselotte |
E344536
|
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: Lieselotte | Statement: [Liesl, nameVariantOf, Lieselotte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lieselotte Context triple: [Liesl, nameVariantOf, Lieselotte]
-
A.
Elfriede
Elfriede is a feminine given name of German origin, notably borne by Austrian Nobel Prize–winning writer Elfriede Jelinek.
-
B.
Margarete
Margarete is a female given name of Greek origin, commonly associated with the meaning "pearl" and used in various European languages.
-
C.
Margarethe
"Margarethe" is a major painting by German artist Anselm Kiefer that reflects on German history and memory, often interpreted in relation to the Holocaust and cultural guilt.
-
D.
Ilse
chosen
Ilse is a feminine given name of German origin, commonly used in German-speaking countries and derived from Elisabeth.
-
E.
Gretel Walter
Gretel Walter was the daughter of renowned German-born conductor Bruno Walter.
- 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_69ca836240888190a62b262e56a69d2f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5fb7491c8190bcdb98d6cc003d9e |
completed | March 31, 2026, 11:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfab60ee608190af9f4aba631b42ef |
completed | April 3, 2026, 11:58 a.m. |
Created at: March 30, 2026, 6:44 p.m.