Triple

T965558
Position Surface form Disambiguated ID Type / Status
Subject Rollo E20829 entity
Predicate alsoKnownAs P39 FINISHED
Object Hrolf E113616 NE FINISHED

How this triple was built (2 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: Hrolf | Statement: [Rollo, alsoKnownAs, Hrolf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hrolf
Context triple: [Rollo, alsoKnownAs, Hrolf]
  • A. Hrólfr chosen
    Hrólfr, better known as Rollo, was a Viking leader who became the first ruler of Normandy in the early 10th century.
  • B. Gunnar
    Gunnar is a masculine given name of Old Norse origin, commonly used in Scandinavian countries and associated with warriors or bold fighters.
  • C. Birger Jarl
    Birger Jarl was a 13th-century Swedish statesman and de facto ruler of Sweden, renowned for consolidating royal power and laying the foundations of the Swedish capital.
  • D. Harold Bluetooth
    Harold Bluetooth was a 10th-century king of Denmark and Norway known for uniting much of Scandinavia and for inspiring the name of the modern Bluetooth wireless technology standard.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ac17034cf48190bca513891cfcc444 completed March 7, 2026, 12:16 p.m.
Created at: March 1, 2026, 7:40 p.m.