Triple

T965557
Position Surface form Disambiguated ID Type / Status
Subject Rollo E20829 entity
Predicate alsoKnownAs P39 FINISHED
Object Hrólfr
Hrólfr, better known as Rollo, was a Viking leader who became the first ruler of Normandy in the early 10th century.
 E113616 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: Hrólfr | Statement: [Rollo, alsoKnownAs, Hrólfr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hrólfr
Context triple: [Rollo, alsoKnownAs, Hrólfr]
  • A. Jóhan
    Jóhan is a given name, primarily used in Faroese and other Nordic contexts, that corresponds to the name Johan.
  • B. Bragi
    Bragi is the Norse god of poetry, eloquence, and song, renowned for his wisdom and skill with words.
  • C. Gunnar
    Gunnar is a masculine given name of Old Norse origin, commonly used in Scandinavian countries and associated with warriors or bold fighters.
  • D. Audun Tron
    Audun Tron is a Norwegian politician who served as the mayor of Lillehammer during the period when the city hosted the 1994 Winter Olympics.
  • E. Freyr
    Freyr is a major Norse god associated with fertility, prosperity, sunshine, and fair weather, often revered as a bringer of peace and good harvests.
  • 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: Hrólfr
Triple: [Rollo, alsoKnownAs, Hrólfr]
Generated description
Hrólfr, better known as Rollo, was a Viking leader who became the first ruler of Normandy in the early 10th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hrólfr
Target entity description: Hrólfr, better known as Rollo, was a Viking leader who became the first ruler of Normandy in the early 10th century.
  • A. Jóhan
    Jóhan is a given name, primarily used in Faroese and other Nordic contexts, that corresponds to the name Johan.
  • B. Bragi
    Bragi is the Norse god of poetry, eloquence, and song, renowned for his wisdom and skill with words.
  • C. Gunnar
    Gunnar is a masculine given name of Old Norse origin, commonly used in Scandinavian countries and associated with warriors or bold fighters.
  • D. Audun Tron
    Audun Tron is a Norwegian politician who served as the mayor of Lillehammer during the period when the city hosted the 1994 Winter Olympics.
  • E. Freyr
    Freyr is a major Norse god associated with fertility, prosperity, sunshine, and fair weather, often revered as a bringer of peace and good harvests.
  • 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_69a493b33d2c81909c52c369d3ca8436 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b431d61481908b53490e99670363 completed March 1, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac11a82bfc81908a30b19d4ecc25f1 completed March 7, 2026, 11:53 a.m.
NEDg Description generation batch_69ac12e7384881908211de8a4092b3c0 completed March 7, 2026, 11:58 a.m.
NED2 Entity disambiguation (via description) batch_69ac135f4b9c8190b45955bc9ef65608 completed March 7, 2026, noon
Created at: March 1, 2026, 7:40 p.m.