Triple

T7189553
Position Surface form Disambiguated ID Type / Status
Subject Arctic tern E167652 entity
Predicate describedBy P264 FINISHED
Object Pontoppidan
Pontoppidan is the surname of Erik Pontoppidan, an 18th-century Danish bishop and naturalist known for his early scientific descriptions of Scandinavian wildlife, including the Arctic tern.
 E647526 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: Pontoppidan | Statement: [Arctic tern, describedBy, Pontoppidan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pontoppidan
Context triple: [Arctic tern, describedBy, Pontoppidan]
  • A. Erving
    Erving is the surname of Julius Erving, the Hall of Fame American basketball player widely known as "Dr. J."
  • B. Parnas
    Parnas is a metro station in Saint Petersburg, Russia, serving as the northern terminus of one of the city’s subway lines.
  • C. Cunlhat
    Cunlhat is a small rural commune in central France’s Puy-de-Dôme department, known for its traditional Auvergne countryside setting.
  • D. Rabaut
    Rabaut is a French surname most notably associated with the revolutionary-era politician and Protestant pastor Jean-Paul Rabaut Saint-Étienne.
  • E. Phinnaeus Moder
    Phinnaeus Moder is one of the twin children of American actress Julia Roberts and her husband, cinematographer Daniel Moder.
  • 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: Pontoppidan
Triple: [Arctic tern, describedBy, Pontoppidan]
Generated description
Pontoppidan is the surname of Erik Pontoppidan, an 18th-century Danish bishop and naturalist known for his early scientific descriptions of Scandinavian wildlife, including the Arctic tern.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pontoppidan
Target entity description: Pontoppidan is the surname of Erik Pontoppidan, an 18th-century Danish bishop and naturalist known for his early scientific descriptions of Scandinavian wildlife, including the Arctic tern.
  • A. Erving
    Erving is the surname of Julius Erving, the Hall of Fame American basketball player widely known as "Dr. J."
  • B. Parnas
    Parnas is a metro station in Saint Petersburg, Russia, serving as the northern terminus of one of the city’s subway lines.
  • C. Cunlhat
    Cunlhat is a small rural commune in central France’s Puy-de-Dôme department, known for its traditional Auvergne countryside setting.
  • D. Rabaut
    Rabaut is a French surname most notably associated with the revolutionary-era politician and Protestant pastor Jean-Paul Rabaut Saint-Étienne.
  • E. Phinnaeus Moder
    Phinnaeus Moder is one of the twin children of American actress Julia Roberts and her husband, cinematographer Daniel Moder.
  • 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_69c6888b5248819090499a884ee3ec39 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e8ff1ad0819094761f8c73e3e986 completed March 27, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b956ce048190b377dd62f5b5b173 completed March 28, 2026, 11:19 a.m.
NEDg Description generation batch_69c7ba1752648190a417bdbbbf04a243 completed March 28, 2026, 11:23 a.m.
NED2 Entity disambiguation (via description) batch_69c7bada296c819094b92c0479ab8a3a completed March 28, 2026, 11:26 a.m.
Created at: March 27, 2026, 2:50 p.m.