Triple

T9330726
Position Surface form Disambiguated ID Type / Status
Subject Rankin/Bass Christmas specials E224513 entity
Predicate notableCharacter P1481 FINISHED
Object Frosty the Snowman E627751 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: Frosty the Snowman | Statement: [Rankin/Bass Christmas specials, notableCharacter, Frosty the Snowman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frosty the Snowman
Context triple: [Rankin/Bass Christmas specials, notableCharacter, Frosty the Snowman]
  • A. Frosty the Snowman chosen
    Frosty the Snowman is a popular Christmas character and song figure, depicted as a magically animated snowman who comes to life and has joyful winter adventures.
  • B. Rudolph
    Rudolph is the legendary red-nosed reindeer from Christmas folklore who guides Santa Claus’s sleigh through the night.
  • C. Rudolph
    Rudolph is a surname of German origin borne by various notable individuals and families.
  • D. Rudolph
    Rudolph is the full given name of Rudy Giuliani, the former mayor of New York City and prominent American political figure.
  • E. Snowman
    Snowman is the post-apocalyptic survivor and narrator of Margaret Atwood’s dystopian novel "Oryx and Crake," through whose perspective the story’s ruined world and its origins are revealed.
  • 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_69ca8427a0c08190b749831d5ea98f02 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd37ae4fcc81909be75d51e2dc455d completed April 1, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69d100c48be481908b670d1e30a9c7e2 completed April 4, 2026, 12:15 p.m.
Created at: March 30, 2026, 7:39 p.m.