Triple

T1716330
Position Surface form Disambiguated ID Type / Status
Subject Vixen E37297 entity
Predicate listedWith P31874 FINISHED
Object Dasher E197882 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: [Vixen, listedWith, Dasher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dasher
Context triple: [Vixen, listedWith, Dasher]
  • A. Dasher chosen
    Dasher is one of Santa Claus’s traditional flying reindeer, commonly named in the famous Christmas poem “A Visit from St. Nicholas.”
  • B. Rudolph
    Rudolph is the legendary red-nosed reindeer from Christmas folklore who guides Santa Claus’s sleigh through the night.
  • C. Prancer
    Prancer is one of Santa Claus's legendary flying reindeer, traditionally depicted as helping pull his sleigh on Christmas Eve.
  • D. Comet the Reindeer
    Comet the Reindeer is one of Santa Claus’s legendary flying reindeer, traditionally depicted as helping pull Santa’s sleigh on Christmas Eve.
  • E. 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.
  • 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_69a8861912dc8190931af43b4b9158a7 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abaffc4e5c81908ce0b9cfe833445e completed March 7, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5be1a2c819083b95d55c969b9d6 completed March 8, 2026, 5:45 p.m.
Created at: March 4, 2026, 7:30 p.m.