Triple

T1430051
Position Surface form Disambiguated ID Type / Status
Subject Hjalmar Siilasvuo E30422 entity
Predicate givenName P17 FINISHED
Object Hjalmar
Hjalmar is a masculine given name of Scandinavian origin, historically borne by several notable figures in Nordic countries.
E163350 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: Hjalmar | Statement: [Hjalmar Siilasvuo, givenName, Hjalmar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hjalmar
Context triple: [Hjalmar Siilasvuo, givenName, Hjalmar]
  • A. Henrik
    Henrik is the given name of the renowned Norwegian mathematician Niels Henrik Abel, known for his pioneering work in algebra and analysis.
  • B. Hans
    Hans is a masculine given name of Germanic origin commonly used in Germanic and Scandinavian countries.
  • C. Emil
    Emil is the given name of Carl Gustaf Emil Mannerheim, the renowned Finnish military leader and statesman who served as President of Finland.
  • D. Ernst
    Ernst is a masculine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
  • E. Oskar
    Oskar is a masculine given name of Germanic origin, commonly used in various European countries.
  • 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: Hjalmar
Triple: [Hjalmar Siilasvuo, givenName, Hjalmar]
Generated description
Hjalmar is a masculine given name of Scandinavian origin, historically borne by several notable figures in Nordic countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hjalmar
Target entity description: Hjalmar is a masculine given name of Scandinavian origin, historically borne by several notable figures in Nordic countries.
  • A. Henrik
    Henrik is the given name of the renowned Norwegian mathematician Niels Henrik Abel, known for his pioneering work in algebra and analysis.
  • B. Hans
    Hans is a masculine given name of Germanic origin commonly used in Germanic and Scandinavian countries.
  • C. Emil
    Emil is the given name of Carl Gustaf Emil Mannerheim, the renowned Finnish military leader and statesman who served as President of Finland.
  • D. Ernst
    Ernst is a masculine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
  • E. Oskar
    Oskar is a masculine given name of Germanic origin, commonly used in various European countries.
  • 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_69a498fc69ec8190b61722bd4b67c4d2 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c4db2d7481908d241593d0e17d83 completed March 1, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad016930ec8190ab3900d6f40c4aa0 completed March 8, 2026, 4:56 a.m.
NEDg Description generation batch_69ad01d1c01c81908917c4837ed2b393 completed March 8, 2026, 4:57 a.m.
NED2 Entity disambiguation (via description) batch_69ad0265f610819085a2dd293abd4812 completed March 8, 2026, 5 a.m.
Created at: March 1, 2026, 8 p.m.