Triple
T490183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lieserl Einstein |
E9970
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Lieserl |
E9970
|
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: Lieserl | Statement: [Lieserl Einstein, givenName, Lieserl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lieserl Context triple: [Lieserl Einstein, givenName, Lieserl]
-
A.
Lieserl Einstein
chosen
Lieserl Einstein was the little-known first child of Albert Einstein and Mileva Marić, whose life and fate remain largely mysterious due to scarce historical records.
-
B.
Truida Pohl
Truida Pohl was the wife of prominent Afrikaans poet and intellectual N. P. van Wyk Louw.
-
C.
Oskar
Oskar is a masculine given name of Germanic origin, commonly used in various European countries.
-
D.
Bettina
Bettina is a feminine given name of Hebrew origin, often considered a diminutive of Elisabeth or Benedetta and used in various European languages.
-
E.
Maryla Husyt Finkelstein
Maryla Husyt Finkelstein was a Holocaust survivor and the mother of American political scientist and author Norman Finkelstein.
- 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_69a2e802e2908190ab17c9479e0b6412 |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f0e22a308190b04d12974fd08a38 |
completed | Feb. 28, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4777eab9c8190894b34e011190a54 |
completed | March 1, 2026, 5:29 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.