Triple

T19442713
Position Surface form Disambiguated ID Type / Status
Subject Big Bill Haywood E486390 entity
Predicate familyName P18 FINISHED
Object Haywood 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: Haywood | Statement: [Big Bill Haywood, familyName, Haywood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haywood
Context triple: [Big Bill Haywood, familyName, Haywood]
  • A. Haywood chosen
    Haywood is the given name of Haywood S. Hansell, a U.S. Air Force general known for his role in developing strategic bombing doctrine during World War II.
  • B. Hay Bluff
    Hay Bluff is a prominent hill on the northern edge of the Black Mountains in the Brecon Beacons National Park, known for its sweeping views over the Welsh–English border and the nearby town of Hay-on-Wye.
  • C. Woodfin
    Woodfin is the surname of Randall Woodfin, an American politician and mayor of Birmingham, Alabama.
  • D. Lenoir
    Lenoir is a French-origin surname borne by various notable individuals in fields such as politics, science, and the arts.
  • E. Caswell
    Caswell is a coastal village and popular beach area on the Gower Peninsula in Swansea, Wales, known for its sandy bay and surfing.
  • 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63386c520819092bea5d7f259a226 completed April 20, 2026, 2:09 p.m.
Created at: April 10, 2026, 1:38 p.m.