Triple

T22490820
Position Surface form Disambiguated ID Type / Status
Subject Hege Riise E556011 entity
Predicate givenName P17 FINISHED
Object Hege
Hege is a Norwegian given name commonly used for women, notably borne by figures such as former footballer and coach Hege Riise.
 E1036563 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: Hege | Statement: [Hege Riise, givenName, Hege]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hege
Context triple: [Hege Riise, givenName, Hege]
  • A. Hegge
    Hegge is a small village in the municipality of Øystre Slidre in Innlandet county, Norway, known for its traditional rural setting and historic stave church.
  • B. Hegü
    Hegü is an alternative name for the Eudeve language, an indigenous Uto-Aztecan language historically spoken in northern Mexico.
  • C. Heggenes
    Heggenes is a small village in Innlandet county, Norway, serving as the local hub for services and administration in the Øystre Slidre area.
  • D. Helge
    Helge is a given name, used in various European countries, that is closely related to the name Helga.
  • E. Heisede
    Heisede is a village and district of the town of Sarstedt in Lower Saxony, Germany.
  • 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: Hege
Triple: [Hege Riise, givenName, Hege]
Generated description
Hege is a Norwegian given name commonly used for women, notably borne by figures such as former footballer and coach Hege Riise.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hege
Target entity description: Hege is a Norwegian given name commonly used for women, notably borne by figures such as former footballer and coach Hege Riise.
  • A. Hegge
    Hegge is a small village in the municipality of Øystre Slidre in Innlandet county, Norway, known for its traditional rural setting and historic stave church.
  • B. Hegü
    Hegü is an alternative name for the Eudeve language, an indigenous Uto-Aztecan language historically spoken in northern Mexico.
  • C. Heggenes
    Heggenes is a small village in Innlandet county, Norway, serving as the local hub for services and administration in the Øystre Slidre area.
  • D. Helge chosen
    Helge is a given name, used in various European countries, that is closely related to the name Helga.
  • E. Heisede
    Heisede is a village and district of the town of Sarstedt in Lower Saxony, Germany.
  • F. None of above.

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_69e11e53897c819088863779f8c50bb0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15c40930c81908310ac6afd98c62e completed April 29, 2026, 1:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b1269d2008190a2ecdfec3d1b4369 completed May 18, 2026, 1:21 p.m.
NEDg Description generation batch_6a0b14b8a3a48190bc3826bf72231df9 completed May 18, 2026, 1:31 p.m.
NED2 Entity disambiguation (via description) batch_6a0b1514991c8190b1c26422aa7d68fd completed May 18, 2026, 1:33 p.m.
Created at: April 16, 2026, 8:49 p.m.