Triple

T16649612
Position Surface form Disambiguated ID Type / Status
Subject Lindström E404567 entity
Predicate hasVariant P455 FINISHED
Object Lindstrom
Lindstrom is a surname of Scandinavian origin, commonly found in Sweden and among people of Swedish descent worldwide.
 E1226254 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: Lindstrom | Statement: [Lindström, hasVariant, Lindstrom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lindstrom
Context triple: [Lindström, hasVariant, Lindstrom]
  • A. Lindberg
    Lindberg is a small municipality in the Regen district of Bavaria, Germany, known for its location in the Bavarian Forest region.
  • B. Lind
    Lind is a surname of German and Scandinavian origin borne by various notable individuals across fields such as the arts, politics, and academia.
  • C. Sundström
    Sundström is a Swedish surname borne by various notable individuals, including actress Rebecca Ferguson.
  • D. Nylund
    Nylund is a Scandinavian-origin surname most widely recognized through the fictional character Rose Nylund from the television series "The Golden Girls."
  • E. Lundell
    Lundell is a Swedish surname most prominently associated with Ulf Lundell, a well-known rock musician, songwriter, and author.
  • 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: Lindstrom
Triple: [Lindström, hasVariant, Lindstrom]
Generated description
Lindstrom is a surname of Scandinavian origin, commonly found in Sweden and among people of Swedish descent worldwide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lindstrom
Target entity description: Lindstrom is a surname of Scandinavian origin, commonly found in Sweden and among people of Swedish descent worldwide.
  • A. Lindberg
    Lindberg is a small municipality in the Regen district of Bavaria, Germany, known for its location in the Bavarian Forest region.
  • B. Lind
    Lind is a surname of German and Scandinavian origin borne by various notable individuals across fields such as the arts, politics, and academia.
  • C. Sundström
    Sundström is a Swedish surname borne by various notable individuals, including actress Rebecca Ferguson.
  • D. Nylund
    Nylund is a Scandinavian-origin surname most widely recognized through the fictional character Rose Nylund from the television series "The Golden Girls."
  • E. Lundell
    Lundell is a Swedish surname most prominently associated with Ulf Lundell, a well-known rock musician, songwriter, and author.
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ad85ec881909dc6a434a363dab1 completed April 18, 2026, 12:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084c2a8448190a9f05bc7e1ce7a05 completed May 10, 2026, 1:14 p.m.
NEDg Description generation batch_6a008607434481909d41e7b8d6f9a4a3 completed May 10, 2026, 1:20 p.m.
NED2 Entity disambiguation (via description) batch_6a00868e55dc8190bfc7cd1b78ec4d6d completed May 10, 2026, 1:22 p.m.
Created at: April 10, 2026, 5:18 a.m.