Triple
T2245193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ilsa Lund |
E49486
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Ilsa |
E49486
|
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: Ilsa | Statement: [Ilsa Lund, givenName, Ilsa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ilsa Context triple: [Ilsa Lund, givenName, Ilsa]
-
A.
Ilsa Lund
chosen
Ilsa Lund is the enigmatic former lover of Rick Blaine and the central female protagonist in the classic 1942 film "Casablanca," portrayed by Ingrid Bergman.
-
B.
Brigitte
Brigitte is a French former teacher best known as the wife of Emmanuel Macron, the President of France.
-
C.
Malena
Malena is a feminine given name, commonly used in various cultures and often considered a diminutive or variant of names like Magdalena.
-
D.
Marlene
Marlene is a German biographical film directed by Joseph Vilsmaier about the life and career of actress and singer Marlene Dietrich.
-
E.
Dorothee
Dorothee is a feminine given name, commonly used in German- and French-speaking countries, that is a variant of the name Dorothea.
- 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_69a88aa979788190ad6500f1d8eee2fc |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0e8d5648190915ff689c7ca42bc |
completed | March 7, 2026, 6:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae71c1edd081909acbb8b1915ce0d6 |
completed | March 9, 2026, 7:07 a.m. |
Created at: March 4, 2026, 7:47 p.m.