Triple

T19026736
Position Surface form Disambiguated ID Type / Status
Subject VG E465627 entity
Predicate hasEditorInChief P19440 FINISHED
Object Gard Steiro
Gard Steiro is a Norwegian journalist and media executive best known for serving as editor-in-chief of the major Norwegian newspaper Verdens Gang (VG).
E1355117 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: Gard Steiro | Statement: [VG, hasEditorInChief, Gard Steiro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gard Steiro
Context triple: [VG, hasEditorInChief, Gard Steiro]
  • A. De Steeg
    De Steeg is a small village in the Dutch province of Gelderland, known for its historic estates and wooded surroundings near the city of Arnhem.
  • B. Gard
    Gard is a department in southern France known for its Mediterranean landscapes, historic towns, and the famous Pont du Gard Roman aqueduct.
  • C. Stege
    Stege is the main town on the Danish island of Møn, known for its historic center and coastal setting.
  • D. Duncan Garden
    Duncan Garden is a formal European-style flower garden in Spokane, Washington, known for its symmetrical design, seasonal floral displays, and central fountain.
  • E. Gardish
    Gardish is a 1993 Hindi action-drama film directed by Priyadarshan, known for Dimple Kapadia’s acclaimed performance alongside Jackie Shroff.
  • 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: Gard Steiro
Triple: [VG, hasEditorInChief, Gard Steiro]
Generated description
Gard Steiro is a Norwegian journalist and media executive best known for serving as editor-in-chief of the major Norwegian newspaper Verdens Gang (VG).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gard Steiro
Target entity description: Gard Steiro is a Norwegian journalist and media executive best known for serving as editor-in-chief of the major Norwegian newspaper Verdens Gang (VG).
  • A. De Steeg
    De Steeg is a small village in the Dutch province of Gelderland, known for its historic estates and wooded surroundings near the city of Arnhem.
  • B. Gard
    Gard is a department in southern France known for its Mediterranean landscapes, historic towns, and the famous Pont du Gard Roman aqueduct.
  • C. Stege
    Stege is the main town on the Danish island of Møn, known for its historic center and coastal setting.
  • D. Duncan Garden
    Duncan Garden is a formal European-style flower garden in Spokane, Washington, known for its symmetrical design, seasonal floral displays, and central fountain.
  • E. Gardish
    Gardish is a 1993 Hindi action-drama film directed by Priyadarshan, known for Dimple Kapadia’s acclaimed performance alongside Jackie Shroff.
  • 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_69d8dd025c188190a1d81f5b4ec7e2c6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d73cace0819096bdac6dc8c17253 completed April 20, 2026, 7:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05be5811e88190aae947755f554492 completed May 14, 2026, 12:21 p.m.
NEDg Description generation batch_6a05bf6819b08190851561a489f66d3f completed May 14, 2026, 12:26 p.m.
NED2 Entity disambiguation (via description) batch_6a05bfe2ab5c8190a969f060b01ee913 completed May 14, 2026, 12:28 p.m.
Created at: April 10, 2026, 12:02 p.m.