Triple

T1716250
Position Surface form Disambiguated ID Type / Status
Subject Dancer E37295 entity
Predicate mentionedTogetherWith P25756 FINISHED
Object Donder
Donder is one of Santa Claus’s traditional reindeer, often listed alongside Dancer and the other members of his Christmas sleigh team.
 E195056 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: Donder | Statement: [Dancer, mentionedTogetherWith, Donder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Donder
Context triple: [Dancer, mentionedTogetherWith, Donder]
  • A. Ösel
    Ösel is the historical German and Swedish name for Saaremaa, the largest island of Estonia in the Baltic Sea.
  • B. Dueodde
    Dueodde is a coastal village on the Danish island of Bornholm, renowned for its exceptionally fine white sand beaches and scenic dunes.
  • C. Crompond
    Crompond is a small hamlet within the town of Yorktown in Westchester County, New York, known primarily as a residential community.
  • D. Lebedus
    Lebedus was an ancient Greek city of Ionia on the western coast of Asia Minor, known as a minor but strategically located coastal settlement involved in regional trade and politics.
  • E. Unangas
    Unangas are the Indigenous people of the Aleutian Islands and nearby regions of Alaska and Russia, known for their maritime culture and distinct Aleut language.
  • 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: Donder
Triple: [Dancer, mentionedTogetherWith, Donder]
Generated description
Donder is one of Santa Claus’s traditional reindeer, often listed alongside Dancer and the other members of his Christmas sleigh team.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Donder
Target entity description: Donder is one of Santa Claus’s traditional reindeer, often listed alongside Dancer and the other members of his Christmas sleigh team.
  • A. Ösel
    Ösel is the historical German and Swedish name for Saaremaa, the largest island of Estonia in the Baltic Sea.
  • B. Dueodde
    Dueodde is a coastal village on the Danish island of Bornholm, renowned for its exceptionally fine white sand beaches and scenic dunes.
  • C. Crompond
    Crompond is a small hamlet within the town of Yorktown in Westchester County, New York, known primarily as a residential community.
  • D. Lebedus
    Lebedus was an ancient Greek city of Ionia on the western coast of Asia Minor, known as a minor but strategically located coastal settlement involved in regional trade and politics.
  • E. Unangas
    Unangas are the Indigenous people of the Aleutian Islands and nearby regions of Alaska and Russia, known for their maritime culture and distinct Aleut language.
  • 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_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_69ad8ae3ea048190b25beeb4bd7306ce completed March 8, 2026, 2:42 p.m.
NEDg Description generation batch_69ad979ce880819089daecbc8455ec84 completed March 8, 2026, 3:37 p.m.
NED2 Entity disambiguation (via description) batch_69ad9ba92a848190918a8748fb65348a completed March 8, 2026, 3:54 p.m.
Created at: March 4, 2026, 7:30 p.m.