Triple

T14183838
Position Surface form Disambiguated ID Type / Status
Subject Teddy e.V. E351524 entity
Predicate responsibleFor P636 FINISHED
Object Teddy Award E70485 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: Teddy Award | Statement: [Teddy e.V., responsibleFor, Teddy Award]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teddy Award
Context triple: [Teddy e.V., responsibleFor, Teddy Award]
  • A. Teddy Award chosen
    The Teddy Award is an international film prize that honors outstanding LGBTQ-themed films and filmmakers, presented annually at the Berlin International Film Festival.
  • B. Emma Award
    The Emma Award is a prominent Finnish music industry prize recognizing outstanding achievements by artists, bands, and other music professionals in Finland.
  • C. Bessie Award
    The Bessie Award is a prestigious New York dance and performance award recognizing outstanding achievement in contemporary dance and choreography.
  • D. Lucy Award
    The Lucy Award is an honor presented by Women in Film to recognize outstanding innovation in television by women whose creative work has enhanced the perception of women through the medium.
  • E. Crystal Award
    The Crystal Award is a World Economic Forum honor presented to artists and cultural leaders whose work has made a significant impact on improving the state of the world.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61cc0a848190b660095972b1223b completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd19413bd08190930767abc2c588d4 completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:03 a.m.