Triple

T6954712
Position Surface form Disambiguated ID Type / Status
Subject Wahlberg E161212 entity
Predicate hasVariant P455 FINISHED
Object Wallberg
Wallberg is a surname variant of Wahlberg, most commonly associated with individuals of Scandinavian or Germanic origin.
 E630815 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: Wallberg | Statement: [Wahlberg, hasVariant, Wallberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wallberg
Context triple: [Wahlberg, hasVariant, Wallberg]
  • A. Walberg
    Walberg is a surname variant of Wahlberg, most commonly associated with individuals of Scandinavian or Germanic origin.
  • B. Wahlberg
    Wahlberg is a surname most prominently associated with American actor and producer Mark Wahlberg and his family.
  • C. Wallen
    Wallen is the colloquial Dutch name for Amsterdam’s famous Red Light District, known for its historic canals, legalized prostitution, and vibrant nightlife.
  • D. Kay Walsh
    Kay Walsh was a British actress and dancer known for her versatile performances in mid-20th-century cinema and her collaborations with prominent directors like David Lean.
  • E. Brolin
    Brolin is a surname most prominently associated with American actor Josh Brolin and his family.
  • 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: Wallberg
Triple: [Wahlberg, hasVariant, Wallberg]
Generated description
Wallberg is a surname variant of Wahlberg, most commonly associated with individuals of Scandinavian or Germanic origin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wallberg
Target entity description: Wallberg is a surname variant of Wahlberg, most commonly associated with individuals of Scandinavian or Germanic origin.
  • A. Walberg chosen
    Walberg is a surname variant of Wahlberg, most commonly associated with individuals of Scandinavian or Germanic origin.
  • B. Wahlberg
    Wahlberg is a surname most prominently associated with American actor and producer Mark Wahlberg and his family.
  • C. Wallen
    Wallen is the colloquial Dutch name for Amsterdam’s famous Red Light District, known for its historic canals, legalized prostitution, and vibrant nightlife.
  • D. Kay Walsh
    Kay Walsh was a British actress and dancer known for her versatile performances in mid-20th-century cinema and her collaborations with prominent directors like David Lean.
  • E. Brolin
    Brolin is a surname most prominently associated with American actor Josh Brolin and his family.
  • 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_69c68852a9a0819097797e31d492e273 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dace1a94819095311e4288f01784 completed March 27, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7618afb0c8190b1545328c1cee5de completed March 28, 2026, 5:05 a.m.
NEDg Description generation batch_69c7623b1e5081909680e1a1811b83e0 completed March 28, 2026, 5:08 a.m.
NED2 Entity disambiguation (via description) batch_69c762ee1a048190ada3e6fd850e468b completed March 28, 2026, 5:11 a.m.
Created at: March 27, 2026, 2:29 p.m.