Triple

T22245742
Position Surface form Disambiguated ID Type / Status
Subject Napoleon death mask E549836 entity
Predicate associatedWith P37 FINISHED
Object Saint Helena NE NERFINISHED

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: Saint Helena | Statement: [Napoleon death mask, associatedWith, Saint Helena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saint Helena
Context triple: [Napoleon death mask, associatedWith, Saint Helena]
  • A. Saint Helena chosen
    Saint Helena is a remote volcanic island in the South Atlantic Ocean, best known as the place of Napoleon Bonaparte’s exile and death.
  • B. Saint Helena
    Saint Helena is a Christian saint traditionally credited with finding the True Cross and known as the mother of the Roman Emperor Constantine the Great.
  • C. St. Helena
    St. Helena is a small, historic city in California’s Napa Valley known for its wineries, vineyards, and upscale culinary and tourism scene.
  • D. St Helena Island
    St Helena Island is a small island in Queensland’s Moreton Bay best known for its 19th-century penal colony and well-preserved historic ruins.
  • E. St. Helena Island
    St. Helena Island is a historic sea island in South Carolina known for its rich Gullah Geechee culture, African American heritage, and coastal landscapes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e41d9408190bd770cf282e22753 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f13217c9f88190aa2ce7d644b57739 completed April 28, 2026, 10:18 p.m.
Created at: April 16, 2026, 8:38 p.m.