Triple

T7547109
Position Surface form Disambiguated ID Type / Status
Subject Rolf Gerhardsen E178433 entity
Predicate familyName P18 FINISHED
Object Gerhardsen
Gerhardsen is a notable Norwegian surname most prominently associated with influential 20th-century politicians and public figures in Norway.
 E671543 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: Gerhardsen | Statement: [Rolf Gerhardsen, familyName, Gerhardsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gerhardsen
Context triple: [Rolf Gerhardsen, familyName, Gerhardsen]
  • A. Gangstad
    Gangstad is a small settlement located within the municipality of Inderøy in Trøndelag county, Norway.
  • B. Badeloch
    Badeloch is a central female character in Joost van den Vondel’s Dutch play "Gijsbrecht van Aemstel," known as the loyal and tragic wife of the title hero.
  • C. Haslum
    Haslum is a suburban area in Bærum, Norway, known for its residential neighborhoods and proximity to Oslo.
  • D. Mahlberg
    Mahlberg is a small town and municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
  • E. Kurtzberg
    Kurtzberg is the birth surname of legendary comic book creator Jack Kirby, co-architect of much of the Marvel Universe.
  • 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: Gerhardsen
Triple: [Rolf Gerhardsen, familyName, Gerhardsen]
Generated description
Gerhardsen is a notable Norwegian surname most prominently associated with influential 20th-century politicians and public figures in Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gerhardsen
Target entity description: Gerhardsen is a notable Norwegian surname most prominently associated with influential 20th-century politicians and public figures in Norway.
  • A. Gangstad
    Gangstad is a small settlement located within the municipality of Inderøy in Trøndelag county, Norway.
  • B. Badeloch
    Badeloch is a central female character in Joost van den Vondel’s Dutch play "Gijsbrecht van Aemstel," known as the loyal and tragic wife of the title hero.
  • C. Haslum
    Haslum is a suburban area in Bærum, Norway, known for its residential neighborhoods and proximity to Oslo.
  • D. Mahlberg
    Mahlberg is a small town and municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
  • E. Kurtzberg
    Kurtzberg is the birth surname of legendary comic book creator Jack Kirby, co-architect of much of the Marvel Universe.
  • 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_69c69f2cbe08819088f9eb0c03ef529b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f89a7b2c8190b2ca57edbb4f0390 completed March 27, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84f2662f881909f65c936be9eab56 completed March 28, 2026, 9:59 p.m.
NEDg Description generation batch_69c852a8c630819080493932adb5ad40 completed March 28, 2026, 10:14 p.m.
NED2 Entity disambiguation (via description) batch_69c8530069e88190af6abcfddb924f38 completed March 28, 2026, 10:15 p.m.
Created at: March 27, 2026, 3:49 p.m.