Triple

T3292211
Position Surface form Disambiguated ID Type / Status
Subject Red Dust E69126 entity
Predicate starredActor P5563 FINISHED
Object Niels Arestrup E190440 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: Niels Arestrup | Statement: [Red Dust, starredActor, Niels Arestrup]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Niels Arestrup
Context triple: [Red Dust, starredActor, Niels Arestrup]
  • A. Niels Arestrup chosen
    Niels Arestrup is a French actor and filmmaker renowned for his intense, character-driven performances in both French cinema and international films.
  • B. Michael E. DeBakey
    Michael E. DeBakey was a pioneering American cardiovascular surgeon and medical innovator whose work revolutionized heart surgery and biomedical research.
  • C. Christiaan Barnard
    Christiaan Barnard was a South African cardiac surgeon best known for performing the world’s first successful human-to-human heart transplant in 1967.
  • D. Alfred Foulhoux
    Alfred Foulhoux was a French architect active in colonial-era Vietnam, best known for designing prominent public buildings in Saigon, including the Saigon Central Post Office.
  • E. Emil Theodor Kocher
    Emil Theodor Kocher was a Swiss surgeon and Nobel laureate renowned for his pioneering work in thyroid surgery and surgical techniques.
  • 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_69ad859d45748190b0742408c954b39f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb07379dc8190b7bb409bcf42bdd6 completed March 8, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e86895988190a7acaa5948b50bcd completed March 12, 2026, 4:23 p.m.
Created at: March 8, 2026, 3:10 p.m.