Triple

T20994293
Position Surface form Disambiguated ID Type / Status
Subject Bruce Norris E517105 entity
Predicate notableWork P4 FINISHED
Object A Parallelogram 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: A Parallelogram | Statement: [Bruce Norris, notableWork, A Parallelogram]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A Parallelogram
Context triple: [Bruce Norris, notableWork, A Parallelogram]
  • A. A Parallelogram chosen
    A Parallelogram is a darkly comic play by Bruce Norris that explores questions of fate, free will, and alternate realities through the story of a woman visited by a future version of herself.
  • B. Trapezium
    Trapezium is a compact group of young, massive stars at the heart of the Orion Nebula that illuminates and shapes the surrounding gas and dust.
  • C. The Polygon
    The Polygon is a former Soviet nuclear weapons testing site in northeastern Kazakhstan, notorious for extensive radioactive contamination and long-term health impacts on local populations.
  • D. The Shape
    The Shape is the silent, masked embodiment of pure evil and the primary antagonist in John Carpenter’s Halloween horror film franchise.
  • E. Paral·lel
    Paral·lel is a major Barcelona Metro interchange station serving as a key access point to the city's Montjuïc area and multiple metro lines.
  • 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_69e0b5006e2881909fc2383f841740cc completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc1e75188190a97114238ea0b4f9 completed April 21, 2026, 4:25 a.m.
Created at: April 16, 2026, 1:50 p.m.