Triple

T17678625
Position Surface form Disambiguated ID Type / Status
Subject Edgar Award for Best Motion Picture Screenplay (nomination) E440706 entity
Predicate presenterAbbreviation P41174 FINISHED
Object MWA 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: MWA | Statement: [Edgar Award for Best Motion Picture Screenplay (nomination), presenterAbbreviation, MWA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MWA
Context triple: [Edgar Award for Best Motion Picture Screenplay (nomination), presenterAbbreviation, MWA]
  • A. MWA chosen
    MWA is the commonly used abbreviation for Mystery Writers of America, a prominent organization dedicated to crime and mystery writers.
  • B. WAMM
    WAMM is the ICAO airport code for Sam Ratulangi International Airport serving Manado in North Sulawesi, Indonesia.
  • C. WAMM
    WAMM is the abbreviation for the World Association of the Major Metropolises, an international organization that brings together and represents the interests of the world’s largest cities.
  • D. M-Wave
    M-Wave is an indoor speed skating arena in Nagano, Japan, best known for hosting the speed skating events at the 1998 Winter Olympics.
  • E. MEWA
    MEWA is the regional section of United Cities and Local Governments (UCLG) that represents and supports local and regional authorities across the Middle East and West Asia.
  • 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_69d8b9e940b081908b862bb0e6e89b0d completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46f6f8054819087b2fe9bc8ad8d2f completed April 19, 2026, 6 a.m.
Created at: April 10, 2026, 10:01 a.m.