Triple

T21256287
Position Surface form Disambiguated ID Type / Status
Subject Lesley Selander E523877 entity
Predicate spouse P13 FINISHED
Object Helen Selander
Helen Selander was the wife of American film director Lesley Selander, known primarily in relation to his career in Hollywood cinema.
 E1476038 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: Helen Selander | Statement: [Lesley Selander, spouse, Helen Selander]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Helen Selander
Context triple: [Lesley Selander, spouse, Helen Selander]
  • A. Helen Sjöholm
    Helen Sjöholm is a Swedish singer and actress renowned for her powerful vocals and leading roles in musical theatre and collaborations with composer Benny Andersson.
  • B. Hilda Lindman
    Hilda Lindman was the wife of Swedish politician and former Prime Minister Arvid Lindman.
  • C. Helena Almqvist
    Helena Almqvist is a person notable for bearing the Swedish surname Almqvist.
  • D. Louise Karlberg
    Louise Karlberg is a researcher known for co-authoring influential work on global environmental limits and the concept of a safe operating space for humanity.
  • E. Marie Nygren
    Marie Nygren is an American entrepreneur and community developer best known as a co-founder of Serenbe, a pioneering sustainable, wellness-focused community in Georgia.
  • 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: Helen Selander
Triple: [Lesley Selander, spouse, Helen Selander]
Generated description
Helen Selander was the wife of American film director Lesley Selander, known primarily in relation to his career in Hollywood cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Helen Selander
Target entity description: Helen Selander was the wife of American film director Lesley Selander, known primarily in relation to his career in Hollywood cinema.
  • A. Helen Sjöholm
    Helen Sjöholm is a Swedish singer and actress renowned for her powerful vocals and leading roles in musical theatre and collaborations with composer Benny Andersson.
  • B. Hilda Lindman
    Hilda Lindman was the wife of Swedish politician and former Prime Minister Arvid Lindman.
  • C. Helena Almqvist
    Helena Almqvist is a person notable for bearing the Swedish surname Almqvist.
  • D. Louise Karlberg
    Louise Karlberg is a researcher known for co-authoring influential work on global environmental limits and the concept of a safe operating space for humanity.
  • E. Marie Nygren
    Marie Nygren is an American entrepreneur and community developer best known as a co-founder of Serenbe, a pioneering sustainable, wellness-focused community in Georgia.
  • 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_69e0b5146c108190adc9adb73e90abff completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735a1f9e08190b494f582bcae5c35 completed April 21, 2026, 8:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0997f6a5908190958598492a1363e8 completed May 17, 2026, 10:27 a.m.
NEDg Description generation batch_6a0998a3326481908a4dfddfb7b2ecd9 completed May 17, 2026, 10:29 a.m.
NED2 Entity disambiguation (via description) batch_6a09996c8d7c81908cc9874f6e1a3fff completed May 17, 2026, 10:33 a.m.
Created at: April 16, 2026, 3:58 p.m.