Triple

T18957258
Position Surface form Disambiguated ID Type / Status
Subject Sky Tower E463812 entity
Predicate architect P184 FINISHED
Object Gordon Moller NE NERFINISHED

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: Gordon Moller | Statement: [Sky Tower, architect, Gordon Moller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gordon Moller
Context triple: [Sky Tower, architect, Gordon Moller]
  • A. Gordon Moller chosen
    Gordon Moller is a New Zealand architect best known for designing Auckland’s iconic Sky Tower.
  • B. Philip Moeller
    Philip Moeller was an American theater director, playwright, and producer best known as a co-founder and key creative force behind New York’s influential Theatre Guild in the early 20th century.
  • C. Carl Moll
    Carl Moll was an Austrian painter and co-founder of the Vienna Secession, known for his refined interiors and landscapes in a distinctive, decorative style.
  • D. Peter Sattler
    Peter Sattler is an American film director and screenwriter best known for his 2014 drama film "Camp X-Ray" starring Kristen Stewart.
  • E. Paul Speer
    Paul Speer is an American guitarist and composer best known for his work in new-age and instrumental rock music, including collaborations with artists like David Lanz.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcffc278819086792a4ebfddfafa completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d5cee8348190b6506b10aed6c58a completed April 20, 2026, 7:29 a.m.
Created at: April 10, 2026, noon