Triple

T17660414
Position Surface form Disambiguated ID Type / Status
Subject Feargus E440234 entity
Predicate relatedName P3889 FINISHED
Object Ferguson 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: Ferguson | Statement: [Feargus, relatedName, Ferguson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ferguson
Context triple: [Feargus, relatedName, Ferguson]
  • A. Ferguson chosen
    Ferguson is a common Scottish surname historically associated with the Gaelic "son of Fergus" and borne by numerous notable figures, including Sir Alex Ferguson.
  • B. Ferguson, Missouri
    Ferguson, Missouri is a suburban city in the Greater St. Louis area that gained national attention following the 2014 police shooting of Michael Brown and the subsequent protests over racial injustice and policing.
  • C. Ballwin, Missouri
    Ballwin, Missouri is a suburban city in the Greater St. Louis metropolitan area known for its residential neighborhoods, parks, and family-friendly community.
  • D. Dubois
    Dubois is a common French-origin surname borne by numerous notable individuals across politics, arts, sciences, and sports.
  • E. Fulton, Missouri
    Fulton, Missouri is a small city in central Missouri best known as the site where Winston Churchill delivered his famous 1946 "Iron Curtain" speech at Westminster College.
  • 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46ea5270c81909d374c9e3946cea6 completed April 19, 2026, 5:56 a.m.
Created at: April 10, 2026, 9:42 a.m.