Triple
T12781184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Douglas Robert Steuart Bader |
E305509
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Bader |
E10528
|
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: Bader | Statement: [Douglas Robert Steuart Bader, familyName, Bader]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bader Context triple: [Douglas Robert Steuart Bader, familyName, Bader]
-
A.
Bader
chosen
Bader is the maiden surname of Ruth Bader Ginsburg, the late U.S. Supreme Court Justice and pioneering advocate for gender equality.
-
B.
Farud
Farud is a character in the Persian epic Shahnameh, known as the son of the legendary king Kay Kavus and for his tragic, heroic death in battle.
-
C.
Jobat
Jobat is a legislative assembly constituency in the Alirajpur district of Madhya Pradesh, India, represented in the state's Vidhan Sabha.
-
D.
Reubell
Reubell is a French surname most notably associated with Jean-François Reubell, a prominent political figure during the French Revolution and a member of the Directory.
-
E.
Bluntschli
Bluntschli is a Swiss surname most notably associated with figures such as jurist Johann Caspar Bluntschli and architect Alfred Friedrich Bluntschli.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e5b52048190b279b7ad066efe9f |
completed | April 10, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f685030cbc8190856bf5254e231d25 |
completed | May 2, 2026, 11:13 p.m. |
Created at: April 9, 2026, 5:29 p.m.