Triple

T2920552
Position Surface form Disambiguated ID Type / Status
Subject Ehrlich E78710 entity
Predicate hasVariant P455 FINISHED
Object Erlikh
Erlikh is an alternative transliteration or spelling variant of the surname Ehrlich, commonly found in Germanic and Jewish contexts.
 E309098 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: Erlikh | Statement: [Ehrlich, hasVariant, Erlikh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Erlikh
Context triple: [Ehrlich, hasVariant, Erlikh]
  • A. Ishkur
    Ishkur is a Mesopotamian storm and rain god associated with thunder, fertility, and seasonal weather.
  • B. Zaslofsky
    Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
  • C. Erwin
    Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
  • D. Meir
    Meir is a Hebrew surname most famously borne by Golda Meir, the former Prime Minister of Israel.
  • E. Yunaska
    Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
  • 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: Erlikh
Triple: [Ehrlich, hasVariant, Erlikh]
Generated description
Erlikh is an alternative transliteration or spelling variant of the surname Ehrlich, commonly found in Germanic and Jewish contexts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Erlikh
Target entity description: Erlikh is an alternative transliteration or spelling variant of the surname Ehrlich, commonly found in Germanic and Jewish contexts.
  • A. Ishkur
    Ishkur is a Mesopotamian storm and rain god associated with thunder, fertility, and seasonal weather.
  • B. Zaslofsky
    Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
  • C. Erwin
    Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
  • D. Meir
    Meir is a Hebrew surname most famously borne by Golda Meir, the former Prime Minister of Israel.
  • E. Yunaska
    Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
  • 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_69ad8b0c2ad081909ff87050ae542bb9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad96a672f88190851e487dac18d43f completed March 8, 2026, 3:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b056344ca48190b4d14dd2c1ac643d completed March 10, 2026, 5:34 p.m.
NEDg Description generation batch_69b05b30b1dc819085fdf1c7ad14f13e completed March 10, 2026, 5:56 p.m.
NED2 Entity disambiguation (via description) batch_69b05c43b08481908ae7cbd23f0b8a93 completed March 10, 2026, 6 p.m.
Created at: March 8, 2026, 2:54 p.m.