Triple

T21499340
Position Surface form Disambiguated ID Type / Status
Subject Roman Ingarden E530435 entity
Predicate familyName P18 FINISHED
Object Ingarden
Ingarden is a Polish surname most notably associated with Roman Ingarden, a prominent 20th-century phenomenologist and philosopher of literature.
 E1487714 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: Ingarden | Statement: [Roman Ingarden, familyName, Ingarden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ingarden
Context triple: [Roman Ingarden, familyName, Ingarden]
  • A. Veltheim
    Veltheim is a former municipality in North Rhine-Westphalia, Germany, that became part of the town of Porta Westfalica through a local government merger.
  • B. Alsergrund
    Alsergrund is the 9th district of Vienna, Austria, known for its historic architecture, cultural institutions, and proximity to the city center.
  • C. Lustgarten
    Lustgarten is a historic public park and square on Berlin’s Museum Island, long used as a parade ground and gathering place.
  • D. Marienhof
    Marienhof is a German television soap opera that gained popularity in the 1990s and 2000s for its portrayal of everyday life and relationships in a fictional Cologne neighborhood.
  • E. Tivoli
    Tivoli is a suburb within the city of Ipswich in Queensland, Australia, known for its residential character and proximity to the Bremer River.
  • 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: Ingarden
Triple: [Roman Ingarden, familyName, Ingarden]
Generated description
Ingarden is a Polish surname most notably associated with Roman Ingarden, a prominent 20th-century phenomenologist and philosopher of literature.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ingarden
Target entity description: Ingarden is a Polish surname most notably associated with Roman Ingarden, a prominent 20th-century phenomenologist and philosopher of literature.
  • A. Veltheim
    Veltheim is a former municipality in North Rhine-Westphalia, Germany, that became part of the town of Porta Westfalica through a local government merger.
  • B. Alsergrund
    Alsergrund is the 9th district of Vienna, Austria, known for its historic architecture, cultural institutions, and proximity to the city center.
  • C. Lustgarten
    Lustgarten is a historic public park and square on Berlin’s Museum Island, long used as a parade ground and gathering place.
  • D. Marienhof
    Marienhof is a German television soap opera that gained popularity in the 1990s and 2000s for its portrayal of everyday life and relationships in a fictional Cologne neighborhood.
  • E. Tivoli
    Tivoli is an IBM software brand known for its enterprise systems management and monitoring solutions.
  • 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_69e0c45bd15481909fba5910765cdda2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea5ae154819090299773b373b921 completed April 23, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09e13d6bc88190a55f46c68c9c55c2 completed May 17, 2026, 3:39 p.m.
NEDg Description generation batch_6a09e1fc4f7881909e198768cdb43747 completed May 17, 2026, 3:42 p.m.
NED2 Entity disambiguation (via description) batch_6a09e2c86858819092216c12d8aa3348 completed May 17, 2026, 3:46 p.m.
Created at: April 16, 2026, 6:24 p.m.