Triple

T1786569
Position Surface form Disambiguated ID Type / Status
Subject Fergie E39406 entity
Predicate familyName P18 FINISHED
Object Ferguson E30614 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: Ferguson | Statement: [Fergie, familyName, Ferguson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ferguson
Context triple: [Fergie, familyName, 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. 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.
  • D. Winfield
    Winfield is a masculine given name most notably borne by 19th-century American military leader Winfield Scott.
  • E. Huntington
    Huntington is a town on the north shore of Long Island in Suffolk County, New York, known for its historic downtown, waterfront, and cultural attractions.
  • 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_69a88631854081909723959921e45c2b completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa650ea238819093a15df6f9d73e2d completed March 6, 2026, 5:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada9a66da8819085867355c174adce completed March 8, 2026, 4:53 p.m.
Created at: March 4, 2026, 7:32 p.m.