Triple

T4295438
Position Surface form Disambiguated ID Type / Status
Subject Izrael Poznański Palace E99699 entity
Predicate namedAfter P63 FINISHED
Object Izrael Poznański
Izrael Poznański was a prominent 19th-century Polish-Jewish industrialist and textile magnate from Łódź.
E428434 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: Izrael Poznański | Statement: [Izrael Poznański Palace, namedAfter, Izrael Poznański]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Izrael Poznański
Context triple: [Izrael Poznański Palace, namedAfter, Izrael Poznański]
  • A. Lejzer
    Lejzer is the given name of L. L. Zamenhof, the Polish-Jewish ophthalmologist and linguist who created the international auxiliary language Esperanto.
  • B. Hirsz Wonsal
    Hirsz Wonsal was the birth name of Harry Warner, one of the founding brothers of Warner Bros. film studio.
  • C. Koserow
    Koserow is a seaside resort village on the Baltic Sea coast of the island of Usedom in northeastern Germany, known for its beaches and coastal landscapes.
  • D. Korzeniowski
    Korzeniowski is a Polish surname most notably borne by contemporary film and television composer Abel Korzeniowski.
  • E. Grósz
    Grósz is a Hungarian surname most notably borne by Károly Grósz, a late-20th-century Hungarian communist politician and former Prime Minister.
  • 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: Izrael Poznański
Triple: [Izrael Poznański Palace, namedAfter, Izrael Poznański]
Generated description
Izrael Poznański was a prominent 19th-century Polish-Jewish industrialist and textile magnate from Łódź.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Izrael Poznański
Target entity description: Izrael Poznański was a prominent 19th-century Polish-Jewish industrialist and textile magnate from Łódź.
  • A. Lejzer
    Lejzer is the given name of L. L. Zamenhof, the Polish-Jewish ophthalmologist and linguist who created the international auxiliary language Esperanto.
  • B. Hirsz Wonsal
    Hirsz Wonsal was the birth name of Harry Warner, one of the founding brothers of Warner Bros. film studio.
  • C. Koserow
    Koserow is a seaside resort village on the Baltic Sea coast of the island of Usedom in northeastern Germany, known for its beaches and coastal landscapes.
  • D. Korzeniowski
    Korzeniowski is a Polish surname most notably borne by contemporary film and television composer Abel Korzeniowski.
  • E. Grósz
    Grósz is a Hungarian surname most notably borne by Károly Grósz, a late-20th-century Hungarian communist politician and former Prime Minister.
  • 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_69b3455175088190aa79c6e03b86647e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35085b864819086cf726285384566 completed March 12, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c740c4a081909a63fb957f2926ae completed March 14, 2026, 8:38 p.m.
NEDg Description generation batch_69b5c7d04508819087b14c5c86f1e015 completed March 14, 2026, 8:40 p.m.
NED2 Entity disambiguation (via description) batch_69b5c84ccea08190a8e7e8fa93934ea2 completed March 14, 2026, 8:42 p.m.
Created at: March 12, 2026, 11:08 p.m.