Triple

T6519010
Position Surface form Disambiguated ID Type / Status
Subject Petit Papa Noël E148331 entity
Predicate titleCharacter P9202 FINISHED
Object Père Noël 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: Père Noël | Statement: [Petit Papa Noël, titleCharacter, Père Noël]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Père Noël
Context triple: [Petit Papa Noël, titleCharacter, Père Noël]
  • 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_69c687e68e748190baceb9298f32d3ed completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ac11d0e481908103c4b51de9521e completed March 27, 2026, 4:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e41434108190b6c329544764dd2c completed March 27, 2026, 8:09 p.m.
Created at: March 27, 2026, 1:44 p.m.