Triple

T14592844
Position Surface form Disambiguated ID Type / Status
Subject Back Award E342486 entity
Predicate officialName P66 FINISHED
Object Back Award E342486 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: Back Award | Statement: [Back Award, officialName, Back Award]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Back Award
Context triple: [Back Award, officialName, Back Award]
  • A. Back Award chosen
    The Back Award is a prestigious honor given by the Royal Geographical Society for notable contributions to the development or application of geographical knowledge.
  • B. Impact Award
    The Impact Award is a prestigious FIRST Robotics Competition honor recognizing a team’s overall excellence in community outreach, STEM advocacy, and embodiment of FIRST’s core values.
  • C. Impact Award
    The Impact Award is a Billboard Women in Music honor recognizing female artists or executives whose work has made a significant and lasting influence on the music industry and culture.
  • D. Eagle Award
    The Eagle Award is a British fan-voted honor recognizing excellence in comic books and creators.
  • E. Trueblood Award
    The Trueblood Award is a scientific honor presented by the American Crystallographic Association to recognize outstanding contributions to the field of crystallography.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb43480d8819084a707e56da2c237 completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94c60448819098cfab7dd292f0cd completed May 8, 2026, 7:46 a.m.
Created at: April 10, 2026, 1:24 a.m.