Triple

T3077833
Position Surface form Disambiguated ID Type / Status
Subject Harrold E64179 entity
Predicate hasRelatedName P3889 FINISHED
Object Harald E153143 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: Harald | Statement: [Harrold, hasRelatedName, Harald]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harald
Context triple: [Harrold, hasRelatedName, Harald]
  • A. Harald chosen
    Harald is a common Scandinavian male given name, historically borne by several notable kings and figures in Norse and European history.
  • B. 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.
  • C. Haakon
    Haakon is a Scandinavian male given name of Old Norse origin, traditionally borne by Norwegian kings and other notable figures.
  • D. Gorm the Old
    Gorm the Old was a 10th-century king of Denmark, traditionally regarded as the first historically recognized Danish monarch and the founder of the Danish royal dynasty.
  • E. Haakon Magnus
    Haakon Magnus is the Crown Prince of Norway and heir apparent to the Norwegian throne.
  • 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_69ad857a8aec8190bfdfd9c14554ac5a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada1a6f6148190ae5cd6e45eda9006 completed March 8, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24b21a2548190a04d122494f8c247 completed March 12, 2026, 5:12 a.m.
Created at: March 8, 2026, 3:02 p.m.