Triple

T1420902
Position Surface form Disambiguated ID Type / Status
Subject Theodor W. Adorno E30221 entity
Predicate familyName P18 FINISHED
Object Wiesengrund
Wiesengrund is the original family name of the German philosopher, sociologist, and critical theorist Theodor W. Adorno.
 E171440 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: Wiesengrund | Statement: [Theodor W. Adorno, familyName, Wiesengrund]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wiesengrund
Context triple: [Theodor W. Adorno, familyName, Wiesengrund]
  • A. Wiesen
    Wiesen is a small locality that forms one of the subdivisions of the town of Lichtenfels in Germany.
  • B. Schöngarth
    Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
  • C. Luterbach
    Luterbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Aare River.
  • D. Hägendorf
    Hägendorf is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Jura mountains.
  • E. Röthenbach
    Röthenbach is a station in Nuremberg, Germany that serves as a terminus on the city’s U-Bahn rapid transit network.
  • 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: Wiesengrund
Triple: [Theodor W. Adorno, familyName, Wiesengrund]
Generated description
Wiesengrund is the original family name of the German philosopher, sociologist, and critical theorist Theodor W. Adorno.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wiesengrund
Target entity description: Wiesengrund is the original family name of the German philosopher, sociologist, and critical theorist Theodor W. Adorno.
  • A. Wiesen
    Wiesen is a small locality that forms one of the subdivisions of the town of Lichtenfels in Germany.
  • B. Schöngarth
    Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
  • C. Luterbach
    Luterbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Aare River.
  • D. Hägendorf
    Hägendorf is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Jura mountains.
  • E. Röthenbach
    Röthenbach is a station in Nuremberg, Germany that serves as a terminus on the city’s U-Bahn rapid transit network.
  • 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_69a498fb823c8190a67ce4c4837e641a completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c42210948190a8fb5e3f9ee3213b completed March 1, 2026, 10:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad1c9999b0819086573fb974952f63 completed March 8, 2026, 6:52 a.m.
NEDg Description generation batch_69ad1f2071708190931a1f3cd35002d6 completed March 8, 2026, 7:02 a.m.
NED2 Entity disambiguation (via description) batch_69ad2141e5f48190a34021b7b3c2a252 completed March 8, 2026, 7:12 a.m.
Created at: March 1, 2026, 8 p.m.