Triple

T9321575
Position Surface form Disambiguated ID Type / Status
Subject Kyle Dixon E224276 entity
Predicate collaboratesWith P37 FINISHED
Object Michael Stein E173966 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: Michael Stein | Statement: [Kyle Dixon, collaboratesWith, Michael Stein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Stein
Context triple: [Kyle Dixon, collaboratesWith, Michael Stein]
  • A. Michael Stein chosen
    Michael Stein is an American musician and composer best known for co-creating the synth-driven score for the hit Netflix series "Stranger Things" as part of the electronic band Survive.
  • B. Philip Stein
    Philip Stein is a brand best known for its luxury wristwatches and lifestyle accessories that incorporate wellness-focused technologies.
  • C. Michael Waldstein
    Michael Waldstein is a Catholic theologian and scholar best known for his authoritative English translation and commentary on Pope John Paul II’s Theology of the Body.
  • D. Fred Lebensold
    Fred Lebensold was a prominent Canadian architect best known for designing major cultural and performing arts venues across Canada.
  • E. Arthur Klein
    Arthur Klein was the husband of pioneering psychoanalyst Melanie Klein, known primarily in relation to her life and work.
  • 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_69ca8426d48481909596360f7791c7dd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd36f2bd288190bb1556a88d9e90f3 completed April 1, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1220267848190a02d8c075726c97a completed April 4, 2026, 2:36 p.m.
Created at: March 30, 2026, 7:38 p.m.