Triple
T12237711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walter Scheib |
E291642
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Scheib
Scheib is a German-language surname borne by various individuals, including notable figures such as former White House Executive Chef Walter Scheib.
|
E973059
|
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: Scheib | Statement: [Walter Scheib, familyName, Scheib]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scheib Context triple: [Walter Scheib, familyName, Scheib]
-
A.
Spiegelberg
Spiegelberg is a rebellious and scheming member of the robber band in Friedrich Schiller’s play "Die Räuber," known for his ruthless ambition and treacherous nature.
-
B.
Sieber
Sieber is a small river in the German state of Lower Saxony that flows through the Harz Mountains and into the Oder.
-
C.
Dehnitz
Dehnitz is a locality within the town of Wurzen in the Free State of Saxony, Germany.
-
D.
Schilb
Schilb is a surname most notably associated with American-Czech professional basketball player Blake Schilb.
-
E.
Bleichert
Bleichert is a German-origin surname most notably associated with individuals such as Dwight "Bucky" Bleichert, a character in James Ellroy’s crime novel "The Black Dahlia."
- 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: Scheib Triple: [Walter Scheib, familyName, Scheib]
Generated description
Scheib is a German-language surname borne by various individuals, including notable figures such as former White House Executive Chef Walter Scheib.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Scheib Target entity description: Scheib is a German-language surname borne by various individuals, including notable figures such as former White House Executive Chef Walter Scheib.
-
A.
Spiegelberg
Spiegelberg is a rebellious and scheming member of the robber band in Friedrich Schiller’s play "Die Räuber," known for his ruthless ambition and treacherous nature.
-
B.
Sieber
Sieber is a small river in the German state of Lower Saxony that flows through the Harz Mountains and into the Oder.
-
C.
Dehnitz
Dehnitz is a locality within the town of Wurzen in the Free State of Saxony, Germany.
-
D.
Schilb
Schilb is a surname most notably associated with American-Czech professional basketball player Blake Schilb.
-
E.
Bleichert
Bleichert is a German-origin surname most notably associated with individuals such as Dwight "Bucky" Bleichert, a character in James Ellroy’s crime novel "The Black Dahlia."
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cb45340819093365f8efdf85f75 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e5ff68c81909d2796b24dd055f4 |
completed | May 2, 2026, 3:55 p.m. |
| NEDg | Description generation | batch_69f61f5bc1fc8190af9d74acc307ebe1 |
completed | May 2, 2026, 3:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62041f2408190ad320fec5283abdd |
completed | May 2, 2026, 4:03 p.m. |
Created at: April 8, 2026, 9:51 p.m.