Triple

T15531283
Position Surface form Disambiguated ID Type / Status
Subject Heinrich Louis d'Arrest E370221 entity
Predicate notableStudent P4838 FINISHED
Object Hans Schjellerup
Hans Schjellerup was a 19th-century Danish astronomer known for his work on star catalogues and oriental astronomical texts.
E1169978 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: Hans Schjellerup | Statement: [Heinrich Louis d'Arrest, notableStudent, Hans Schjellerup]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hans Schjellerup
Context triple: [Heinrich Louis d'Arrest, notableStudent, Hans Schjellerup]
  • A. Gerhard Schøning
    Gerhard Schøning was an 18th-century Norwegian historian and antiquarian regarded as one of the pioneers of Norwegian historical scholarship.
  • B. Hans Dissing
    Hans Dissing was a Danish architect known for his modernist designs and significant contributions to 20th-century Danish architecture.
  • C. Morten Ristorp
    Morten Ristorp is a Danish songwriter and producer known for his work on international pop and R&B hits.
  • D. Erling Thurmann-Andersen
    Erling Thurmann-Andersen is a Norwegian cinematographer known for his work on the 1997 thriller film "Insomnia."
  • E. Gunnar Wejke
    Gunnar Wejke was a Swedish architect known for co-designing major public buildings, including the multi-purpose arena Scandinavium in Gothenburg.
  • 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: Hans Schjellerup
Triple: [Heinrich Louis d'Arrest, notableStudent, Hans Schjellerup]
Generated description
Hans Schjellerup was a 19th-century Danish astronomer known for his work on star catalogues and oriental astronomical texts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hans Schjellerup
Target entity description: Hans Schjellerup was a 19th-century Danish astronomer known for his work on star catalogues and oriental astronomical texts.
  • A. Gerhard Schøning
    Gerhard Schøning was an 18th-century Norwegian historian and antiquarian regarded as one of the pioneers of Norwegian historical scholarship.
  • B. Hans Dissing
    Hans Dissing was a Danish architect known for his modernist designs and significant contributions to 20th-century Danish architecture.
  • C. Morten Ristorp
    Morten Ristorp is a Danish songwriter and producer known for his work on international pop and R&B hits.
  • D. Erling Thurmann-Andersen
    Erling Thurmann-Andersen is a Norwegian cinematographer known for his work on the 1997 thriller film "Insomnia."
  • E. Gunnar Wejke
    Gunnar Wejke was a Swedish architect known for co-designing major public buildings, including the multi-purpose arena Scandinavium in Gothenburg.
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e0414773548190b3311515f9d957dd completed April 16, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6780ee3081908a0a833d887b1829 completed May 9, 2026, 4:57 p.m.
NEDg Description generation batch_69ff68947cec8190a77cfe560a10a1ee completed May 9, 2026, 5:02 p.m.
NED2 Entity disambiguation (via description) batch_69ff69370ed081908ab61470f126bcf9 completed May 9, 2026, 5:04 p.m.
Created at: April 10, 2026, 4:06 a.m.