Triple

T10588642
Position Surface form Disambiguated ID Type / Status
Subject Hollander E249923 entity
Predicate hasVariant P455 FINISHED
Object Hollender
Hollender is a surname of Dutch and German origin, often referring to someone from Holland or the Netherlands.
 E872105 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: Hollender | Statement: [Hollander, hasVariant, Hollender]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hollender
Context triple: [Hollander, hasVariant, Hollender]
  • A. Groysman
    Groysman is a Ukrainian surname most prominently associated with Volodymyr Groysman, a former Prime Minister of Ukraine.
  • B. Jacob Holland
    Jacob Holland is the daring sea monster hunter who serves as the main protagonist in the animated adventure film "The Sea Beast."
  • C. Hulbert
    Hulbert is a small rural community located within the Township of South Dundas in eastern Ontario, Canada.
  • D. Eisenhauer
    Eisenhauer is a German-origin surname best known as the ancestral form of the name borne by U.S. President Dwight D. Eisenhower.
  • E. Joel Oliansky
    Joel Oliansky was an American screenwriter and director known for his work in film and television during the 1960s–1980s, including the screenplay for the thriller "Counterpoint."
  • 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: Hollender
Triple: [Hollander, hasVariant, Hollender]
Generated description
Hollender is a surname of Dutch and German origin, often referring to someone from Holland or the Netherlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hollender
Target entity description: Hollender is a surname of Dutch and German origin, often referring to someone from Holland or the Netherlands.
  • A. Groysman
    Groysman is a Ukrainian surname most prominently associated with Volodymyr Groysman, a former Prime Minister of Ukraine.
  • B. Jacob Holland
    Jacob Holland is the daring sea monster hunter who serves as the main protagonist in the animated adventure film "The Sea Beast."
  • C. Hulbert
    Hulbert is a small rural community located within the Township of South Dundas in eastern Ontario, Canada.
  • D. Eisenhauer
    Eisenhauer is a German-origin surname best known as the ancestral form of the name borne by U.S. President Dwight D. Eisenhower.
  • E. Joel Oliansky
    Joel Oliansky was an American screenwriter and director known for his work in film and television during the 1960s–1980s, including the screenplay for the thriller "Counterpoint."
  • 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_69d381c9d3d48190a29ee491e1696a0e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d527793c588190bfe3a5261eb7f919 completed April 7, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b9440548190bff01847a940266b completed April 10, 2026, 7:12 p.m.
NEDg Description generation batch_69d94ca13550819085b7824d8b5131e7 completed April 10, 2026, 7:16 p.m.
NED2 Entity disambiguation (via description) batch_69d9518517608190b5036694b83f5f58 completed April 10, 2026, 7:37 p.m.
Created at: April 6, 2026, 12:40 p.m.