Triple

T9853763
Position Surface form Disambiguated ID Type / Status
Subject Haas E239533 entity
Predicate hasVariant P455 FINISHED
Object Haasz
Haasz is a surname variant of Haas, typically of German or Ashkenazi Jewish origin.
E825046 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: Haasz | Statement: [Haas, hasVariant, Haasz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haasz
Context triple: [Haas, hasVariant, Haasz]
  • A. Zaslofsky
    Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
  • B. Löwenthal
    Löwenthal is the maiden surname of Elsa Einstein, who was both the second wife and cousin of physicist Albert Einstein.
  • C. Haarbach
    Haarbach is a rural municipality in Lower Bavaria, Germany, known for its agricultural landscape and small-village character within the Passau region.
  • D. Lebzelter
    Lebzelter is the original surname of American character actor Jack Warden, known for his prolific film and television career in the mid-20th century.
  • E. Harkányi
    Harkányi is a Hungarian surname associated with individuals such as Mici Mária Harkányi.
  • 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: Haasz
Triple: [Haas, hasVariant, Haasz]
Generated description
Haasz is a surname variant of Haas, typically of German or Ashkenazi Jewish origin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Haasz
Target entity description: Haasz is a surname variant of Haas, typically of German or Ashkenazi Jewish origin.
  • A. Zaslofsky
    Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
  • B. Löwenthal
    Löwenthal is the maiden surname of Elsa Einstein, who was both the second wife and cousin of physicist Albert Einstein.
  • C. Haarbach
    Haarbach is a rural municipality in Lower Bavaria, Germany, known for its agricultural landscape and small-village character within the Passau region.
  • D. Lebzelter
    Lebzelter is the original surname of American character actor Jack Warden, known for his prolific film and television career in the mid-20th century.
  • E. Harkányi
    Harkányi is a Hungarian surname associated with individuals such as Mici Mária Harkányi.
  • 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_69ca84e4fdc08190a624425bcef98665 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb376d32c819089381cf6ed83629d completed April 2, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5f21a04819099f23ede55ec3417 completed April 5, 2026, 3:24 a.m.
NEDg Description generation batch_69d1d7a6a87c81908dcd79c776bb19a1 completed April 5, 2026, 3:31 a.m.
NED2 Entity disambiguation (via description) batch_69d1d82007088190ac372c67a6760e65 completed April 5, 2026, 3:33 a.m.
Created at: March 30, 2026, 8:34 p.m.