Triple

T13763260
Position Surface form Disambiguated ID Type / Status
Subject Jacques, Hereditary Prince of Monaco E330668 entity
Predicate middleName P143 FINISHED
Object Rainier E839676 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: Rainier | Statement: [Jacques, Hereditary Prince of Monaco, middleName, Rainier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rainier
Context triple: [Jacques, Hereditary Prince of Monaco, middleName, Rainier]
  • A. Rainier chosen
    Rainier is a masculine given name most famously borne by Rainier III, the longtime Prince of Monaco.
  • B. Mount Rainier
    Mount Rainier is a massive glaciated stratovolcano in Washington State and one of the most prominent and potentially hazardous volcanoes in the United States.
  • C. Mount Baker
    Mount Baker is an active glaciated stratovolcano in the North Cascades of Washington State, known for its heavy snowfall and prominent, snow-covered peak.
  • D. Mount Madison
    Mount Madison is one of New Hampshire’s Presidential Range peaks in the White Mountains, popular with hikers for its rugged alpine terrain and panoramic views.
  • E. Mount Sullivan
    Mount Sullivan is a notable natural landmark near the coastal town of Port St Johns in South Africa’s Eastern Cape.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de022690ac8190bd5410ecc659a2a7 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0ded1e0819097ef42533357caf8 completed May 3, 2026, 9:40 p.m.
Created at: April 9, 2026, 10:10 p.m.