Triple

T14702460
Position Surface form Disambiguated ID Type / Status
Subject Mac Ahlberg E345339 entity
Predicate familyName P18 FINISHED
Object Ahlberg
Ahlberg is a Swedish surname borne by various notable individuals in fields such as film, literature, and the arts.
 E1115732 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: Ahlberg | Statement: [Mac Ahlberg, familyName, Ahlberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ahlberg
Context triple: [Mac Ahlberg, familyName, Ahlberg]
  • A. Alvik
    Alvik is a district in western Stockholm known as a key public transport hub, particularly for its tram and metro connections.
  • B. Nylund
    Nylund is a Scandinavian-origin surname most widely recognized through the fictional character Rose Nylund from the television series "The Golden Girls."
  • C. Åkerman
    Åkerman is a Swedish surname most notably borne by Canadian-Swedish actress and model Malin Åkerman.
  • D. Linderud
    Linderud is a residential neighborhood in Oslo, Norway, known for its apartment blocks, shopping center, and access to public transportation.
  • E. Häger
    Häger is a surname and place name of Germanic origin that appears as a variant spelling of Hager.
  • 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: Ahlberg
Triple: [Mac Ahlberg, familyName, Ahlberg]
Generated description
Ahlberg is a Swedish surname borne by various notable individuals in fields such as film, literature, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ahlberg
Target entity description: Ahlberg is a Swedish surname borne by various notable individuals in fields such as film, literature, and the arts.
  • A. Alvik
    Alvik is a district in western Stockholm known as a key public transport hub, particularly for its tram and metro connections.
  • B. Nylund
    Nylund is a Scandinavian-origin surname most widely recognized through the fictional character Rose Nylund from the television series "The Golden Girls."
  • C. Åkerman
    Åkerman is a Swedish surname most notably borne by Canadian-Swedish actress and model Malin Åkerman.
  • D. Linderud
    Linderud is a residential neighborhood in Oslo, Norway, known for its apartment blocks, shopping center, and access to public transportation.
  • E. Häger
    Häger is a surname and place name of Germanic origin that appears as a variant spelling of Hager.
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb6071e5c8190bb5509c859135c2d completed April 14, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf0861c308190af0b5da403ecb321 completed May 8, 2026, 2:17 p.m.
NEDg Description generation batch_69fdf368782c8190825247435eab2045 completed May 8, 2026, 2:30 p.m.
NED2 Entity disambiguation (via description) batch_69fdf3fe50ac8190ad5529427472eda3 completed May 8, 2026, 2:32 p.m.
Created at: April 10, 2026, 1:28 a.m.