Triple

T17638256
Position Surface form Disambiguated ID Type / Status
Subject Andy Shauf E429154 entity
Predicate notableWork P4 FINISHED
Object Norm 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: Norm | Statement: [Andy Shauf, notableWork, Norm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norm
Context triple: [Andy Shauf, notableWork, Norm]
  • A. Norm chosen
    Norm is a masculine given name, often a shortened form of Norman, commonly used in English-speaking countries.
  • B. Normal
    Normal is a central Illinois town best known as the home of Illinois State University and part of the twin-city community with Bloomington.
  • C. Normal
    Normal is a Mexico City Metro station on Line 2 that serves the San Rafael neighborhood near several educational institutions.
  • D. Way to Normal
    Way to Normal is a 2008 studio album by American singer-songwriter and pianist Ben Folds, known for its energetic piano rock sound and witty, narrative-driven lyrics.
  • E. Nut
    Nut is the ancient Egyptian sky goddess, often depicted arching over the earth and associated with the heavens, stars, and the cyclical rebirth of the sun.
  • 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_69d889e2c2608190b762e76d9b2262f1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46de2c85c819087e17a9ff93e4964 completed April 19, 2026, 5:53 a.m.
Created at: April 10, 2026, 5:58 a.m.