Triple

T34803162
Position Surface form Disambiguated ID Type / Status
Subject 2006–07 OHL season E1003273 entity
Predicate humanitarianOfTheYearAward P177867 FINISHED
Object Dan Snyder Memorial Trophy 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: Dan Snyder Memorial Trophy | Statement: [2006–07 OHL season, humanitarianOfTheYearAward, Dan Snyder Memorial Trophy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: humanitarianOfTheYearAward
Context triple: [2006–07 OHL season, humanitarianOfTheYearAward, Dan Snyder Memorial Trophy]
  • A. humanitarianAward chosen
    Indicates that an entity has received an award or recognition for humanitarian efforts or contributions to the welfare of others.
  • B. UNHumanRightsPrizeYear
    Indicates the year in which a given entity received the United Nations Prize in the Field of Human Rights.
  • C. notableHumanRightsOrganization
    Indicates that an entity is recognized as a significant organization actively involved in the promotion, protection, or advocacy of human rights.
  • D. hasHumanitarianAspect
    Indicates that something involves, relates to, or has implications for humanitarian concerns such as human welfare, relief, or the protection of human rights.
  • E. humanitarianAccess
    Indicates that humanitarian actors are able to reach affected populations and deliver assistance safely, reliably, and without obstruction.
  • F. None of above.

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_69f76db543808190b188c6c86a91491b completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f77a8bcfa48190ad0f0df94b2301f8 completed May 3, 2026, 4:40 p.m.
PD Predicate disambiguation batch_69f7795b1abc8190823664d1caa94649 completed May 3, 2026, 4:35 p.m.
Created at: May 3, 2026, 3:59 p.m.