Triple
T11992670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liesel Matthews |
E285446
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Liesel |
E285446
|
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: Liesel | Statement: [Liesel Matthews, givenName, Liesel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liesel Context triple: [Liesel Matthews, givenName, Liesel]
-
A.
Liesel Meminger
Liesel Meminger is a courageous young girl in Nazi Germany who discovers the power of words and storytelling while coping with loss, war, and the horrors of the Holocaust.
-
B.
Liesel Matthews
chosen
Liesel Matthews is an American former child actress best known for her lead role in the 1995 film "A Little Princess" and for starring in "Air Force One."
-
C.
Annemarie
Annemarie is a feminine given name of German origin, often used in German-speaking and other European countries.
-
D.
Annemarie Schön
Annemarie Schön was the wife of renowned German football coach Helmut Schön.
-
E.
Betsie
Betsie is the commonly used nickname of Betsie Verwoerd, the wife of former South African Prime Minister Hendrik Verwoerd.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903b11ac481909866b611380792e7 |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4726696dc8190bf2a7aa43cb08b19 |
completed | May 1, 2026, 9:29 a.m. |
Created at: April 8, 2026, 9:46 p.m.