Triple
T14416623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanna Schmitz |
E357469
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Alexandra Maria Lara |
E462977
|
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: Alexandra Maria Lara | Statement: [Hanna Schmitz, portrayedBy, Alexandra Maria Lara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alexandra Maria Lara Context triple: [Hanna Schmitz, portrayedBy, Alexandra Maria Lara]
-
A.
Alexandra Maria Lara
chosen
Alexandra Maria Lara is a Romanian-German actress known for her roles in acclaimed films such as "Downfall," "Control," and "Rush."
-
B.
Debra Paget
Debra Paget is an American actress best known for her roles in 1950s Hollywood epics and adventure films, including prominent performances in movies like "The Ten Commandments" and "Love Me Tender."
-
C.
Margaret Lockwood
Margaret Lockwood was a popular British film and stage actress best known for her leading roles in 1930s and 1940s classics, particularly in thrillers and melodramas.
-
D.
Celia Johnson
Celia Johnson was a distinguished English actress best known for her nuanced, understated performances in classic British films such as "Brief Encounter."
-
E.
Natasha Wightman
Natasha Wightman is a British actress best known for her role in the dystopian political thriller film "V for Vendetta."
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90cec8e4819087c72d82f9caacda |
completed | April 14, 2026, 7:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd552bc32c81908a562732e3950442 |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:17 a.m.