Triple
T11908713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Friedrich Ebert Jr. |
E283337
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Louise Ebert |
E914036
|
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: Louise Ebert | Statement: [Friedrich Ebert Jr., mother, Louise Ebert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Louise Ebert Context triple: [Friedrich Ebert Jr., mother, Louise Ebert]
-
A.
Louise Ebert
chosen
Louise Ebert was the wife of Friedrich Ebert, Germany’s first Reich President, and served as the country’s first "First Lady" during the early Weimar Republic.
-
B.
Louise Mueller
Louise Mueller is a notable individual who shares the surname Mueller and has achieved sufficient recognition to be distinguished among its bearers.
-
C.
Louise Thomas
Louise Thomas was the wife of pioneering British aviation designer and test pilot Geoffrey de Havilland.
-
D.
Lucile Rosson
Lucile Rosson was the wife of American film director Victor Fleming, known for his work during Hollywood’s Golden Age.
-
E.
Louise Franklin
Louise Franklin was the wife of British actor George Coulouris, known primarily in relation to his personal life.
- 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_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e5278eb081909a7ecfe38beeeda9 |
completed | April 10, 2026, 11:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f44004b454819091b41bac99895106 |
completed | May 1, 2026, 5:54 a.m. |
Created at: April 8, 2026, 9:44 p.m.