Triple

T23067630
Position Surface form Disambiguated ID Type / Status
Subject Neesiaceae E575092 entity
Predicate namedAfter P63 FINISHED
Object Nees
Nees is the abbreviated botanical author name for Christian Gottfried Daniel Nees von Esenbeck, a 19th-century German botanist and naturalist known for his extensive work in plant taxonomy.
 E1568269 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: Nees | Statement: [Neesiaceae, namedAfter, Nees]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nees
Context triple: [Neesiaceae, namedAfter, Nees]
  • A. Neels
    Neels is a given name and surname of Dutch or Afrikaans origin, commonly used in South Africa and the Netherlands.
  • B. Neydens
    Neydens is a small commune in southeastern France’s Haute-Savoie department, near the Swiss border and the city of Geneva.
  • C. Nese
    Nese is an endangered Oceanic language spoken by a small community on the island of Malakula in Vanuatu.
  • D. Neseenan
    Neseenan is an alternative name for the Nisenan language, an indigenous language of the Nisenan people of Northern California.
  • E. Neel
    Neel is a central character in the Hindi musical comedy film "Jhankaar Beats," known for his role in the story’s exploration of friendship, music, and urban life.
  • 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: Nees
Triple: [Neesiaceae, namedAfter, Nees]
Generated description
Nees is the abbreviated botanical author name for Christian Gottfried Daniel Nees von Esenbeck, a 19th-century German botanist and naturalist known for his extensive work in plant taxonomy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nees
Target entity description: Nees is the abbreviated botanical author name for Christian Gottfried Daniel Nees von Esenbeck, a 19th-century German botanist and naturalist known for his extensive work in plant taxonomy.
  • A. Neels
    Neels is a given name and surname of Dutch or Afrikaans origin, commonly used in South Africa and the Netherlands.
  • B. Neydens
    Neydens is a small commune in southeastern France’s Haute-Savoie department, near the Swiss border and the city of Geneva.
  • C. Nese
    Nese is an endangered Oceanic language spoken by a small community on the island of Malakula in Vanuatu.
  • D. Neseenan
    Neseenan is an alternative name for the Nisenan language, an indigenous language of the Nisenan people of Northern California.
  • E. Neel
    Neel is a central character in the Hindi musical comedy film "Jhankaar Beats," known for his role in the story’s exploration of friendship, music, and urban life.
  • 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_69e245bd6e4c8190bb8942245b68cad5 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f189a4e2fc81909704333306737f80 completed April 29, 2026, 4:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c0aeda4d88190b4e4e55ff36d00b1 completed May 19, 2026, 7:02 a.m.
NEDg Description generation batch_6a0c0cb059fc81908a4ff8c7cdf8a0bd completed May 19, 2026, 7:09 a.m.
NED2 Entity disambiguation (via description) batch_6a0c0d995ea081908dd9d09d6d63ddfe completed May 19, 2026, 7:13 a.m.
Created at: April 17, 2026, 3:55 p.m.