Triple
T507313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bader |
E10528
|
entity |
| Predicate | hasVariantSpelling |
P457
|
FINISHED |
| Object |
Baader
Baader is a surname of German origin borne by various notable individuals in fields such as philosophy, theology, and activism.
|
E63472
|
NE FINISHED |
How this triple was built (4 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: Baader | Statement: [Bader, hasVariantSpelling, Baader]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baader Context triple: [Bader, hasVariantSpelling, Baader]
-
A.
Bader
Bader is the maiden surname of Ruth Bader Ginsburg, the late U.S. Supreme Court Justice and pioneering advocate for gender equality.
-
B.
Bortus
Bortus is a stoic, duty-bound Moclan officer serving as second-in-command aboard the exploratory spaceship in the sci-fi comedy series "The Orville."
-
C.
Sauer
Sauer is a German surname borne by various notable individuals in fields such as science, politics, and the arts.
-
D.
Otto
Otto is the central German soldier protagonist in the 1993 war film "Stalingrad," whose experiences depict the brutality and futility of the Eastern Front in World War II.
-
E.
Otto
Otto is the title of one of the early nominative reports that were later incorporated into the official United States Reports, documenting decisions of the U.S. Supreme Court.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Baader Triple: [Bader, hasVariantSpelling, Baader]
Generated description
Baader is a surname of German origin borne by various notable individuals in fields such as philosophy, theology, and activism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Baader Target entity description: Baader is a surname of German origin borne by various notable individuals in fields such as philosophy, theology, and activism.
-
A.
Bader
Bader is the maiden surname of Ruth Bader Ginsburg, the late U.S. Supreme Court Justice and pioneering advocate for gender equality.
-
B.
Bortus
Bortus is a stoic, duty-bound Moclan officer serving as second-in-command aboard the exploratory spaceship in the sci-fi comedy series "The Orville."
-
C.
Sauer
Sauer is a German surname borne by various notable individuals in fields such as science, politics, and the arts.
-
D.
Otto
Otto is the central German soldier protagonist in the 1993 war film "Stalingrad," whose experiences depict the brutality and futility of the Eastern Front in World War II.
-
E.
Otto
Otto is the title of one of the early nominative reports that were later incorporated into the official United States Reports, documenting decisions of the U.S. Supreme Court.
- F. None of above. chosen
Provenance (5 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_69a2e848adf881908e5e04f7af030093 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f14dcd688190ad47a3b31b95b6d4 |
completed | Feb. 28, 2026, 1:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a49ebaf5c48190b24614b2a1ab9466 |
completed | March 1, 2026, 8:16 p.m. |
| NEDg | Description generation | batch_69a49f48310c8190b32590d22d5728ba |
completed | March 1, 2026, 8:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a49ff5aea48190b84eba05fca4278a |
completed | March 1, 2026, 8:22 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.