Triple

T9677276
Position Surface form Disambiguated ID Type / Status
Subject Here Comes Peter Cottontail E234189 entity
Predicate writer P1360 FINISHED
Object Romeo Muller E224503 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: Romeo Muller | Statement: [Here Comes Peter Cottontail, writer, Romeo Muller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Romeo Muller
Context triple: [Here Comes Peter Cottontail, writer, Romeo Muller]
  • A. Romeo Muller chosen
    Romeo Muller was an American screenwriter best known for crafting the stories and scripts of numerous classic Rankin/Bass animated holiday specials.
  • B. Hugo Brunner
    Hugo Brunner is a British public servant who served as the ceremonial representative of the monarch in Oxfordshire as its Lord Lieutenant.
  • C. Victor Muller
    Victor Muller is a Dutch entrepreneur best known as the founder and former CEO of the boutique sports car manufacturer Spyker Cars and for his high-profile involvement in the automotive industry.
  • D. Johann Punz
    Johann Punz was a mountaineer known for making the first ascent of the notoriously challenging Watzmann East Face in the Bavarian Alps.
  • E. Peter Josef Zurbriggen
    Peter Josef Zurbriggen was a notable Swiss mountaineer and alpine guide renowned for pioneering ascents in the Alps and other major mountain ranges in the late 19th century.
  • 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_69ca84c99e34819092e5563a7106cfca completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9c99ee0481908ead5f7112117c90 completed April 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18a34adec8190a4a260d029e408aa completed April 4, 2026, 10:01 p.m.
Created at: March 30, 2026, 8:16 p.m.