Triple

T6976739
Position Surface form Disambiguated ID Type / Status
Subject Stronger (What Doesn't Kill You) E161733 entity
Predicate writer P1360 FINISHED
Object Jörgen Elofsson E606457 NE FINISHED

How this triple was built (2 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: Jörgen Elofsson | Statement: [Stronger (What Doesn't Kill You), writer, Jörgen Elofsson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jörgen Elofsson
Context triple: [Stronger (What Doesn't Kill You), writer, Jörgen Elofsson]
  • A. Jörgen Elofsson chosen
    Jörgen Elofsson is a Swedish songwriter and producer best known for crafting numerous international pop hits for artists such as Britney Spears, Kelly Clarkson, and Westlife.
  • B. Göran Gustafsson
    Göran Gustafsson was a Swedish entrepreneur and philanthropist known for his significant contributions to scientific research funding.
  • C. Björn Waldegård
    Björn Waldegård was a Swedish rally driver and the inaugural World Rally Championship drivers’ title winner, renowned for his success with multiple manufacturers during the 1970s and 1980s.
  • D. Göran Månsson
    Göran Månsson is a Swedish architect best known for designing Stockholm’s renowned Vasa Museum, which houses the 17th-century warship Vasa.
  • E. Jörgen Persson
    Jörgen Persson is a Swedish cinematographer known for his work on numerous acclaimed films, including the 1998 adaptation of Les Misérables.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c68854a0d88190bc0bf82263f1afce completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db677bbc8190a084b6951e5c3182 completed March 27, 2026, 7:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c761af5bb48190af430e961efb34fb completed March 28, 2026, 5:05 a.m.
Created at: March 27, 2026, 2:31 p.m.