Triple
T20220817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hans v. Louisiana |
E495248
|
entity |
| Predicate | plaintiff |
P660
|
FINISHED |
| Object | Bernard Hans |
—
|
NE NERFINISHED |
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: Bernard Hans | Statement: [Hans v. Louisiana, plaintiff, Bernard Hans]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bernard Hans Context triple: [Hans v. Louisiana, plaintiff, Bernard Hans]
-
A.
Bernard Hans
chosen
Bernard Hans was the plaintiff in the landmark U.S. Supreme Court case Hans v. Louisiana, which helped define the scope of state sovereign immunity under the Eleventh Amendment.
-
B.
Bernard Schubert
Bernard Schubert was an American screenwriter best known for his work on mid-20th-century Hollywood genre films, including classic horror entries.
-
C.
Bernard Baars
Bernard Baars is a cognitive scientist best known for developing global workspace theory, a prominent model of human consciousness.
-
D.
Théodore Hanssen
Théodore Hanssen was a stained-glass artist known for creating notable windows, including works in Metz Cathedral.
-
E.
Hans Scherenberg
Hans Scherenberg was a German automotive engineer and influential Mercedes-Benz technical director known for advancing racing and production car technology in the mid-20th century.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66edc88148190b003b72eb4c69da5 |
completed | April 20, 2026, 6:22 p.m. |
Created at: April 11, 2026, 11:39 p.m.