Triple

T9330725
Position Surface form Disambiguated ID Type / Status
Subject Rankin/Bass Christmas specials E224513 entity
Predicate notableCharacter P1481 FINISHED
Object Rudolph the Red-Nosed Reindeer E38319 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: Rudolph the Red-Nosed Reindeer | Statement: [Rankin/Bass Christmas specials, notableCharacter, Rudolph the Red-Nosed Reindeer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rudolph the Red-Nosed Reindeer
Context triple: [Rankin/Bass Christmas specials, notableCharacter, Rudolph the Red-Nosed Reindeer]
  • A. Rudolph chosen
    Rudolph is the legendary red-nosed reindeer from Christmas folklore who guides Santa Claus’s sleigh through the night.
  • B. Rudolph
    Rudolph is a surname of German origin borne by various notable individuals and families.
  • C. Rudolph
    Rudolph is the full given name of Rudy Giuliani, the former mayor of New York City and prominent American political figure.
  • D. Frosty the Snowman
    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.
  • E. The Grinch
    The Grinch is a famously grouchy, green, Christmas-hating character from Dr. Seuss’s classic children’s story “How the Grinch Stole Christmas!”
  • 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_69d0f3b37b408190957c371233d8a3bd completed April 4, 2026, 11:19 a.m.
Created at: March 30, 2026, 7:39 p.m.