Triple

T3302211
Position Surface form Disambiguated ID Type / Status
Subject Roald Amundsen E69361 entity
Predicate givenName P17 FINISHED
Object Roald
Roald is a masculine given name of Scandinavian origin, notably borne by the Norwegian polar explorer Roald Amundsen.
 E121485 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: Roald | Statement: [Roald Amundsen, givenName, Roald]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Roald
Context triple: [Roald Amundsen, givenName, Roald]
  • A. Andreas Roald
    Andreas Roald is a film producer known for his work on the period drama "Effie Gray."
  • B. Roald Dahl
    Roald Dahl was a British author famed for his darkly imaginative children's books such as "Charlie and the Chocolate Factory" and "Matilda," as well as his work in adult fiction and screenwriting.
  • C. Andersen
    Andersen is a common Scandinavian surname of Danish and Norwegian origin, meaning "son of Anders."
  • D. Nils Norman
    Nils Norman is a business figure known for co-founding the biotechnology company Biogen.
  • E. Hjalmar Welhaven
    Hjalmar Welhaven was a Norwegian architect and cultural figure known for his contributions to 19th-century Norwegian architecture and his connections to prominent literary and artistic circles.
  • 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: Roald
Triple: [Roald Amundsen, givenName, Roald]
Generated description
Roald is a masculine given name of Scandinavian origin, notably borne by the Norwegian polar explorer Roald Amundsen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Roald
Target entity description: Roald is a masculine given name of Scandinavian origin, notably borne by the Norwegian polar explorer Roald Amundsen.
  • A. Andreas Roald
    Andreas Roald is a film producer known for his work on the period drama "Effie Gray."
  • B. Roald Dahl chosen
    Roald Dahl was a British author famed for his darkly imaginative children's books such as "Charlie and the Chocolate Factory" and "Matilda," as well as his work in adult fiction and screenwriting.
  • C. Andersen
    Andersen is a common Scandinavian surname of Danish and Norwegian origin, meaning "son of Anders."
  • D. Nils Norman
    Nils Norman is a business figure known for co-founding the biotechnology company Biogen.
  • E. Hjalmar Welhaven
    Hjalmar Welhaven was a Norwegian architect and cultural figure known for his contributions to 19th-century Norwegian architecture and his connections to prominent literary and artistic circles.
  • F. None of above.

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_69ad859e529c8190a404273f53cb487d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0a9450481909f0d630e5593085e completed March 8, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3df7f548190ada47f742df46545 completed March 12, 2026, 5:11 p.m.
NEDg Description generation batch_69b3006293248190952c5a53d9afa4e7 completed March 12, 2026, 6:05 p.m.
NED2 Entity disambiguation (via description) batch_69b313ddfb1081909719dd584846c6ed completed March 12, 2026, 7:28 p.m.
Created at: March 8, 2026, 3:11 p.m.