Triple

T8099613
Position Surface form Disambiguated ID Type / Status
Subject Joseph Chamberlain E189074 entity
Predicate familyName P18 FINISHED
Object Chamberlain E189072 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: Chamberlain | Statement: [Joseph Chamberlain, familyName, Chamberlain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chamberlain
Context triple: [Joseph Chamberlain, familyName, Chamberlain]
  • A. Chamberlain chosen
    Chamberlain is a surname most famously associated with Neville Chamberlain, the British prime minister known for his policy of appeasement toward Nazi Germany before World War II.
  • B. Armitage
    Armitage is an English surname borne by various notable individuals, including actors, politicians, and writers.
  • C. Buckley
    Buckley is a surname most prominently associated with William F. Buckley Jr., the influential American conservative author and founder of National Review.
  • D. Buckley
    Buckley is a small city in Washington State known for its rural character and proximity to Mount Rainier.
  • E. Buckley
    Buckley is a small town in Flintshire, northeast Wales, known historically for its brickworks and coal mining industries.
  • 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_69ca82b886d88190a9cba0d5a4a27521 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42961ad4819085d023427fc5ac5f completed March 31, 2026, 3:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc9407df3481908353e8468b49e6bc completed April 1, 2026, 3:42 a.m.
Created at: March 30, 2026, 5:31 p.m.