Triple

T10244156
Position Surface form Disambiguated ID Type / Status
Subject Burgermeister Meisterburger E224506 entity
Predicate opposes P437 FINISHED
Object Kris Kringle E5879 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: Kris Kringle | Statement: [Burgermeister Meisterburger, opposes, Kris Kringle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kris Kringle
Context triple: [Burgermeister Meisterburger, opposes, Kris Kringle]
  • A. Santa Claus chosen
    Santa Claus is a legendary, gift-giving figure in Western culture typically depicted as a jolly, bearded man in a red suit who delivers presents to children on Christmas Eve.
  • B. St. Niklaus
    St. Niklaus is a locality within the Swiss municipality of Feldbrunnen-St. Niklaus in the canton of Solothurn.
  • C. Rudolph
    Rudolph is a surname of German origin borne by various notable individuals and families.
  • D. Rudolph
    Rudolph is the legendary red-nosed reindeer from Christmas folklore who guides Santa Claus’s sleigh through the night.
  • E. Rudolph
    Rudolph is the full given name of Rudy Giuliani, the former mayor of New York City and prominent American political figure.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d22a76188190a73df23bfb08eb3d completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f7936ce4819087f07df2c7a76282 completed April 9, 2026, 12:49 a.m.
Created at: April 6, 2026, 11:26 a.m.