Triple

T21993934
Position Surface form Disambiguated ID Type / Status
Subject Ullman E543155 entity
Predicate hasVariant P455 FINISHED
Object Ulman
Ulman is a variant spelling of the surname Ullman, which is of Germanic and Jewish origin and borne by various notable individuals.
 E1512570 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: Ulman | Statement: [Ullman, hasVariant, Ulman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ulman
Context triple: [Ullman, hasVariant, Ulman]
  • A. Ylla
    Ylla is a short story by Ray Bradbury, set on Mars and exploring the inner life and unfulfilled desires of a Martian woman.
  • B. Dainava
    Dainava is a historical region in the territory of present-day Lithuania and northeastern Poland, traditionally associated with the Baltic Yotvingian and Lithuanian tribes.
  • C. Mór
    Mór is a town in central Hungary known for its wine production and location between the Vértes and Bakony hills.
  • D. Vasalemma
    Vasalemma is a small settlement in northern Estonia known for its historic limestone quarrying and manor architecture.
  • E. Velkua
    Velkua is a former island municipality in southwestern Finland known for its coastal archipelago landscape in the Baltic Sea.
  • 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: Ulman
Triple: [Ullman, hasVariant, Ulman]
Generated description
Ulman is a variant spelling of the surname Ullman, which is of Germanic and Jewish origin and borne by various notable individuals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ulman
Target entity description: Ulman is a variant spelling of the surname Ullman, which is of Germanic and Jewish origin and borne by various notable individuals.
  • A. Ylla
    Ylla is a short story by Ray Bradbury, set on Mars and exploring the inner life and unfulfilled desires of a Martian woman.
  • B. Dainava
    Dainava is a historical region in the territory of present-day Lithuania and northeastern Poland, traditionally associated with the Baltic Yotvingian and Lithuanian tribes.
  • C. Mór
    Mór is a town in central Hungary known for its wine production and location between the Vértes and Bakony hills.
  • D. Vasalemma
    Vasalemma is a small settlement in northern Estonia known for its historic limestone quarrying and manor architecture.
  • E. Velkua
    Velkua is a former island municipality in southwestern Finland known for its coastal archipelago landscape in the Baltic Sea.
  • 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_69e11e2c814c8190837d072789000486 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127639bf48190800b3fa3c1527983 completed April 28, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a6d85f104819088dba8d0bf347fbe completed May 18, 2026, 1:38 a.m.
NEDg Description generation batch_6a0a6e556f3c8190927d1c0cba23463c completed May 18, 2026, 1:41 a.m.
NED2 Entity disambiguation (via description) batch_6a0a6f3de2e88190824c9cc266c7ee8c completed May 18, 2026, 1:45 a.m.
Created at: April 16, 2026, 8:17 p.m.