Triple
T7235153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hans Landa |
E155202
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Shosanna Dreyfus |
E311061
|
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: Shosanna Dreyfus | Statement: [Hans Landa, associatedWith, Shosanna Dreyfus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shosanna Dreyfus Context triple: [Hans Landa, associatedWith, Shosanna Dreyfus]
-
A.
Shosanna Dreyfus
chosen
Shosanna Dreyfus is a vengeful French Jewish cinema owner in Quentin Tarantino’s film "Inglourious Basterds," known for orchestrating a plot to destroy high-ranking Nazis.
-
B.
Shoshanna Shapiro
Shoshanna Shapiro is a bubbly, fast-talking, and naive yet increasingly self-assured young woman featured as one of the core friends navigating adulthood in the TV series "Girls."
-
C.
Marielle
Marielle is a French surname most notably borne by the acclaimed actor Jean-Pierre Marielle.
-
D.
Yaël
Yaël is a French feminine given name of Hebrew origin, commonly borne by contemporary public figures such as politicians and artists.
-
E.
Anouk
Anouk is a Dutch singer-songwriter known for her powerful rock vocals and numerous chart-topping hits in the Netherlands.
- 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_69c688143bfc81908d4176617735e601 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea130e5c819087f74883760fe327 |
completed | March 27, 2026, 8:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cc2d96588190bcf150cbfe4d015c |
completed | March 28, 2026, 12:40 p.m. |
Created at: March 27, 2026, 2:55 p.m.