Triple

T19518937
Position Surface form Disambiguated ID Type / Status
Subject Charlie Korsmo E488354 entity
Predicate familyName P18 FINISHED
Object Korsmo
Korsmo is a surname most notably associated with Charlie Korsmo, a former child actor turned law professor.
 E1379741 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: Korsmo | Statement: [Charlie Korsmo, familyName, Korsmo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Korsmo
Context triple: [Charlie Korsmo, familyName, Korsmo]
  • A. Norén
    Norén is a Swedish surname, notably borne by actress Noomi Rapace before she adopted her stage name.
  • B. Solbo
    Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
  • C. Kaarsild
    Kaarsild is a pedestrian arch bridge in Tartu, Estonia, known for spanning the Emajõgi River and offering scenic views of the city.
  • D. Fresvik
    Fresvik is a small village in Vestland county, Norway, situated along the Sognefjorden and known for its scenic fjord landscape and fruit farming.
  • E. Kluuvi
    Kluuvi is a central district of Helsinki, Finland, known as the city’s main commercial and business hub.
  • 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: Korsmo
Triple: [Charlie Korsmo, familyName, Korsmo]
Generated description
Korsmo is a surname most notably associated with Charlie Korsmo, a former child actor turned law professor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Korsmo
Target entity description: Korsmo is a surname most notably associated with Charlie Korsmo, a former child actor turned law professor.
  • A. Norén
    Norén is a Swedish surname, notably borne by actress Noomi Rapace before she adopted her stage name.
  • B. Solbo
    Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
  • C. Kaarsild
    Kaarsild is a pedestrian arch bridge in Tartu, Estonia, known for spanning the Emajõgi River and offering scenic views of the city.
  • D. Fresvik
    Fresvik is a small village in Vestland county, Norway, situated along the Sognefjorden and known for its scenic fjord landscape and fruit farming.
  • E. Kluuvi
    Kluuvi is a central district of Helsinki, Finland, known as the city’s main commercial and business hub.
  • 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_69d8e8da8bec819081f400199491ccc3 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6359edd508190afd68739de676ed7 completed April 20, 2026, 2:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a074728f7548190a6a8e1888e8c8180 completed May 15, 2026, 4:17 p.m.
NEDg Description generation batch_6a07483465008190966296ddca76e7d2 completed May 15, 2026, 4:22 p.m.
NED2 Entity disambiguation (via description) batch_6a074931b1dc8190804d545e2058a69a completed May 15, 2026, 4:26 p.m.
Created at: April 10, 2026, 1:40 p.m.