Triple

T14516570
Position Surface form Disambiguated ID Type / Status
Subject False Alarm E340534 entity
Predicate writer P1360 FINISHED
Object Henrik Jonback E766578 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: Henrik Jonback | Statement: [False Alarm, writer, Henrik Jonback]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henrik Jonback
Context triple: [False Alarm, writer, Henrik Jonback]
  • A. Henrik Jonback chosen
    Henrik Jonback is a Swedish songwriter and producer best known for his work on major pop hits, including Britney Spears’ “Toxic.”
  • B. Nils Bjurman
    Nils Bjurman is a corrupt and sadistic legal guardian in Stieg Larsson’s Millennium series, known for exploiting and tormenting Lisbeth Salander.
  • C. Anders Sandvig
    Anders Sandvig was a Norwegian dentist and cultural historian best known for collecting historic buildings and artifacts that formed the basis of the Maihaugen open-air museum in Lillehammer.
  • D. Jesper Mattsson
    Jesper Mattsson is a Swedish former professional ice hockey forward known for his long career in the Swedish leagues and contributions to teams like Malmö Redhawks and the national team.
  • E. Erik Kråkström
    Erik Kråkström was a Finnish architect known for his modernist industrial and residential designs, including significant work on the Sunila Pulp Mill complex.
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de9a6f50208190b687b505f5cd1aa2 completed April 14, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24a2fc048190b68d3267fe17471b completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:21 a.m.