Triple

T285640
Position Surface form Disambiguated ID Type / Status
Subject Santa Claus E5879 entity
Predicate notableReindeer P22 FINISHED
Object Dasher E37296 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: Dasher | Statement: [Santa Claus, notableReindeer, Dasher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dasher
Context triple: [Santa Claus, notableReindeer, Dasher]
  • A. Rudolph
    Rudolph is the legendary red-nosed reindeer from Christmas folklore who guides Santa Claus’s sleigh through the night.
  • B. Prancer chosen
    Prancer is one of Santa Claus's legendary flying reindeer, traditionally depicted as helping pull his sleigh on Christmas Eve.
  • C. Easter Bunny
    The Easter Bunny is a folkloric figure and symbol of Easter, typically depicted as a rabbit that brings and hides decorated eggs for children to find.
  • D. Jonathan the Husky
    Jonathan the Husky is the costumed canine mascot representing the University of Connecticut and its athletic teams, including the renowned women’s basketball program.
  • E. Tim the Beaver
    Tim the Beaver is the official mascot of the Massachusetts Institute of Technology, symbolizing the school’s emphasis on engineering, ingenuity, and industriousness.
  • 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_69a25946a7ac8190a78871c210213272 completed Feb. 28, 2026, 2:56 a.m.
NER Named-entity recognition batch_69a260d21e5881909f3baba8b8dfff92 completed Feb. 28, 2026, 3:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3ab9e277c81909b75bbeaa6c818a2 completed March 1, 2026, 2:59 a.m.
Created at: Feb. 28, 2026, 3:02 a.m.