Triple
T17317848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ellen Tauscher |
E420475
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Tauscher
Tauscher is a German-language surname borne by various notable individuals in fields such as politics, sports, and the arts.
|
E841253
|
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: Tauscher | Statement: [Ellen Tauscher, familyName, Tauscher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tauscher Context triple: [Ellen Tauscher, familyName, Tauscher]
-
A.
Tuchlauben
Tuchlauben is a historic street in Vienna’s city center, known for its upscale shops and proximity to major landmarks in the old town.
-
B.
Rattenberg
Rattenberg is a small municipality in the Straubing-Bogen district of Lower Bavaria, Germany, known for its rural setting and traditional Bavarian character.
-
C.
Schultheiss
Schultheiss is a German surname historically derived from a medieval administrative title for a local official or magistrate.
-
D.
Hanussen
Hanussen is a 1988 Austrian-German biographical drama film about the clairvoyant performer Erik Jan Hanussen, starring Klaus Maria Brandauer.
-
E.
The Butcher
The Butcher is a genre painting by Dutch Golden Age artist Abraham Bloemaert depicting a detailed, everyday scene centered on a butcher’s shop.
- 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: Tauscher Triple: [Ellen Tauscher, familyName, Tauscher]
Generated description
Tauscher is a German-language surname borne by various notable individuals in fields such as politics, sports, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tauscher Target entity description: Tauscher is a German-language surname borne by various notable individuals in fields such as politics, sports, and the arts.
-
A.
Tuchlauben
Tuchlauben is a historic street in Vienna’s city center, known for its upscale shops and proximity to major landmarks in the old town.
-
B.
Rattenberg
Rattenberg is a small municipality in the Straubing-Bogen district of Lower Bavaria, Germany, known for its rural setting and traditional Bavarian character.
-
C.
Schultheiss
chosen
Schultheiss is a German surname historically derived from a medieval administrative title for a local official or magistrate.
-
D.
Hanussen
Hanussen is a 1988 Austrian-German biographical drama film about the clairvoyant performer Erik Jan Hanussen, starring Klaus Maria Brandauer.
-
E.
The Butcher
The Butcher is a genre painting by Dutch Golden Age artist Abraham Bloemaert depicting a detailed, everyday scene centered on a butcher’s shop.
- F. None of above.
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_69d889d22b848190a4663d0b8f8f76e7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4399ea7dc8190a0ecab7534fe16c3 |
completed | April 19, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0180e8cfd88190a105b778e5b9e864 |
completed | May 11, 2026, 7:10 a.m. |
| NEDg | Description generation | batch_6a0181c89e3081909b3acea495bb4d7f |
completed | May 11, 2026, 7:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a018291cce48190897f0d0bcbae4d71 |
completed | May 11, 2026, 7:17 a.m. |
Created at: April 10, 2026, 5:43 a.m.