Triple

T285646
Position Surface form Disambiguated ID Type / Status
Subject Santa Claus E5879 entity
Predicate notableReindeer P22 FINISHED
Object Donner
Donner is one of Santa Claus's traditional flying reindeer, often depicted as helping pull Santa’s sleigh on Christmas Eve.
 E37300 NE FINISHED

How this triple was built (4 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: Donner | Statement: [Santa Claus, notableReindeer, Donner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Donner
Context triple: [Santa Claus, notableReindeer, Donner]
  • A. Chevak
    Chevak is a distinct dialect of the Central Alaskan Yup’ik language spoken primarily in the village of Chevak in western Alaska.
  • B. Milhous
    Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
  • C. Cassin
    Cassin is a French surname most notably borne by René Cassin, a Nobel Peace Prize–winning jurist and co-author of the Universal Declaration of Human Rights.
  • D. Pearl of the West
    Pearl of the West is a celebrated nickname for Guadalajara, highlighting its cultural richness, historical significance, and beauty in western Mexico.
  • E. Adelbert
    Adelbert is a masculine given name of German origin, historically borne by figures such as the poet and naturalist Adelbert von Chamisso.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Donner
Triple: [Santa Claus, notableReindeer, Donner]
Generated description
Donner is one of Santa Claus's traditional flying reindeer, often depicted as helping pull Santa’s sleigh on Christmas Eve.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Donner
Target entity description: Donner is one of Santa Claus's traditional flying reindeer, often depicted as helping pull Santa’s sleigh on Christmas Eve.
  • A. Chevak
    Chevak is a distinct dialect of the Central Alaskan Yup’ik language spoken primarily in the village of Chevak in western Alaska.
  • B. Milhous
    Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
  • C. Cassin
    Cassin is a French surname most notably borne by René Cassin, a Nobel Peace Prize–winning jurist and co-author of the Universal Declaration of Human Rights.
  • D. Pearl of the West
    Pearl of the West is a celebrated nickname for Guadalajara, highlighting its cultural richness, historical significance, and beauty in western Mexico.
  • E. Adelbert
    Adelbert is a masculine given name of German origin, historically borne by figures such as the poet and naturalist Adelbert von Chamisso.
  • F. None of above. chosen

Provenance (5 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_69a39d078ad88190b4fce535c8ea9a80 completed March 1, 2026, 1:57 a.m.
NEDg Description generation batch_69a39e93efc48190a1fa60d04ee7e85f completed March 1, 2026, 2:04 a.m.
NED2 Entity disambiguation (via description) batch_69a39f38af0481908f0a3bfeda680065 completed March 1, 2026, 2:06 a.m.
Created at: Feb. 28, 2026, 3:02 a.m.