Triple

T2183853
Position Surface form Disambiguated ID Type / Status
Subject Genera Plantarum E49106 entity
Predicate publisherOfFirstEdition P7323 FINISHED
Object Haak
Haak was the original publisher of the first edition of the influential botanical work "Genera Plantarum."
 E243310 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: Haak | Statement: [Genera Plantarum, publisherOfFirstEdition, Haak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Haak
Context triple: [Genera Plantarum, publisherOfFirstEdition, Haak]
  • A. Hau
    Hau is the surname of Danish physicist Lene Vestergaard Hau, known for her pioneering work in slowing and stopping light.
  • B. HAA
    HAA is the Harvard Alumni Association, the organization that connects and serves Harvard University’s global community of alumni.
  • C. Ham
    Ham is a suburban riverside district in southwest London, England, known for its historic houses, green spaces, and proximity to the River Thames.
  • D. Halawa
    Halawa is a residential and industrial valley community in Honolulu County, Hawaii, known for landmarks such as Aloha Stadium and Pearl Harbor’s eastern shores.
  • E. Hase
    The Hase is a river in northwestern Germany that flows through Lower Saxony and North Rhine-Westphalia, passing towns such as Quakenbrück before joining the Ems.
  • 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: Haak
Triple: [Genera Plantarum, publisherOfFirstEdition, Haak]
Generated description
Haak was the original publisher of the first edition of the influential botanical work "Genera Plantarum."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Haak
Target entity description: Haak was the original publisher of the first edition of the influential botanical work "Genera Plantarum."
  • A. Hau
    Hau is the surname of Danish physicist Lene Vestergaard Hau, known for her pioneering work in slowing and stopping light.
  • B. HAA
    HAA is the Harvard Alumni Association, the organization that connects and serves Harvard University’s global community of alumni.
  • C. Ham
    Ham is a suburban riverside district in southwest London, England, known for its historic houses, green spaces, and proximity to the River Thames.
  • D. Halawa
    Halawa is a residential and industrial valley community in Honolulu County, Hawaii, known for landmarks such as Aloha Stadium and Pearl Harbor’s eastern shores.
  • E. Hase
    The Hase is a river in northwestern Germany that flows through Lower Saxony and North Rhine-Westphalia, passing towns such as Quakenbrück before joining the Ems.
  • 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_69a88aa72d348190a9544bb5b8a4e71d completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbf0e92248190a9449fce4044438a completed March 7, 2026, 6 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5da963308190bcd0918b8317b3f6 completed March 9, 2026, 5:42 a.m.
NEDg Description generation batch_69ae5e30a69c8190a3f77e784401f671 completed March 9, 2026, 5:44 a.m.
NED2 Entity disambiguation (via description) batch_69ae5ea7909c8190a93d87a5d07b84d4 completed March 9, 2026, 5:46 a.m.
Created at: March 4, 2026, 7:45 p.m.