Triple

T9841472
Position Surface form Disambiguated ID Type / Status
Subject Hermann Rauschning E239235 entity
Predicate placeOfBirth P1 FINISHED
Object Thorn E237941 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: Thorn | Statement: [Hermann Rauschning, placeOfBirth, Thorn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thorn
Context triple: [Hermann Rauschning, placeOfBirth, Thorn]
  • A. Thorn chosen
    Thorn is a historic city on the Vistula River, now known as Toruń in Poland, renowned for its well-preserved medieval architecture and as the birthplace of astronomer Nicolaus Copernicus.
  • B. Thorn
    Thorn is a surname most notably associated with Rod Thorn, a prominent figure in American professional basketball as both a player and executive.
  • C. Blackthorn
    Blackthorn is a 2011 Western film that imagines an aging Butch Cassidy living in Bolivia years after his presumed death.
  • D. Topthorn
    Topthorn is the powerful black war horse from Michael Morpurgo’s novel "War Horse," known for his strength, nobility, and close bond with the protagonist horse Joey.
  • E. Glapthorn
    Glapthorn is a small rural village in Northamptonshire, England, known for its traditional countryside setting and proximity to the market town of Oundle.
  • 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_69ca84e3f0c48190ada72a65ebd50efd completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb34c920c81909b56ed9936b15f9b completed April 2, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5d9673c8190ada27bef9220798d completed April 5, 2026, 3:24 a.m.
Created at: March 30, 2026, 8:33 p.m.