Triple

T4340369
Position Surface form Disambiguated ID Type / Status
Subject Olof Palme E97564 entity
Predicate child P120 FINISHED
Object Mårten Palme
Mårten Palme is a Swedish economist and academic, known as a professor at Stockholm University and the son of former Swedish Prime Minister Olof Palme.
 E438674 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: Mårten Palme | Statement: [Olof Palme, child, Mårten Palme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mårten Palme
Context triple: [Olof Palme, child, Mårten Palme]
  • A. Göran Månsson
    Göran Månsson is a Swedish architect best known for designing Stockholm’s renowned Vasa Museum, which houses the 17th-century warship Vasa.
  • B. Johan Söderqvist
    Johan Söderqvist is a Swedish film composer known for his atmospheric and emotionally nuanced scores for Scandinavian and international cinema.
  • C. Gunnar Wetterberg
    Gunnar Wetterberg is a Swedish historian, author, and former diplomat known for his popular works on Nordic history and biographies of prominent Scandinavian figures.
  • D. Stig Strömholm
    Stig Strömholm is a Swedish legal scholar, author, and academic leader who served as a prominent rector of Uppsala University.
  • E. Bertil Ohlsson
    Bertil Ohlsson is a film producer best known for his work on the acclaimed drama "What's Eating Gilbert Grape."
  • 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: Mårten Palme
Triple: [Olof Palme, child, Mårten Palme]
Generated description
Mårten Palme is a Swedish economist and academic, known as a professor at Stockholm University and the son of former Swedish Prime Minister Olof Palme.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mårten Palme
Target entity description: Mårten Palme is a Swedish economist and academic, known as a professor at Stockholm University and the son of former Swedish Prime Minister Olof Palme.
  • A. Göran Månsson
    Göran Månsson is a Swedish architect best known for designing Stockholm’s renowned Vasa Museum, which houses the 17th-century warship Vasa.
  • B. Johan Söderqvist
    Johan Söderqvist is a Swedish film composer known for his atmospheric and emotionally nuanced scores for Scandinavian and international cinema.
  • C. Gunnar Wetterberg
    Gunnar Wetterberg is a Swedish historian, author, and former diplomat known for his popular works on Nordic history and biographies of prominent Scandinavian figures.
  • D. Stig Strömholm
    Stig Strömholm is a Swedish legal scholar, author, and academic leader who served as a prominent rector of Uppsala University.
  • E. Bertil Ohlsson
    Bertil Ohlsson is a film producer best known for his work on the acclaimed drama "What's Eating Gilbert Grape."
  • 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_69b3454662a481908fbcd0bbfaa3a0a4 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3516f92588190bdf004d8020c1203 completed March 12, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5f5ca65948190b435ecc30190a0e4 completed March 14, 2026, 11:56 p.m.
NEDg Description generation batch_69b5f65e9bec819082c33b0c066cd42b completed March 14, 2026, 11:59 p.m.
NED2 Entity disambiguation (via description) batch_69b5fa90f6a48190a27dfeb65f705225 completed March 15, 2026, 12:17 a.m.
Created at: March 12, 2026, 11:14 p.m.