Triple

T13580770
Position Surface form Disambiguated ID Type / Status
Subject David Helfgott E324410 entity
Predicate name P16 FINISHED
Object David Helfgott E324410 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: David Helfgott | Statement: [David Helfgott, name, David Helfgott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Helfgott
Context triple: [David Helfgott, name, David Helfgott]
  • A. David Helfgott chosen
    David Helfgott is an Australian concert pianist whose life, marked by prodigious talent and struggles with mental illness, inspired the acclaimed film "Shine."
  • B. Samuel Hoffenstein
    Samuel Hoffenstein was an American screenwriter and poet best known for his witty, sophisticated scripts in Hollywood films of the 1930s and 1940s.
  • 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. Morris Weinstein
    Morris Weinstein, better known by his stage name Jack Weston, was an American character actor recognized for his work in film, television, and theater from the 1950s through the 1980s.
  • E. David Rabinowitz
    David Rabinowitz is an American screenwriter best known for co-writing the Academy Award–winning film "BlacKkKlansman."
  • 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb03052088190a2b68c106059828e completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78ae008788190b3ebc09e73ec4952 completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:48 p.m.