Triple

T1428889
Position Surface form Disambiguated ID Type / Status
Subject Bayard, West Virginia E30397 entity
Predicate namedAfter P63 FINISHED
Object Bayard
Bayard is a small town in Grant County, West Virginia, known historically as a coal and timber community in the Appalachian region.
E163283 NE FINISHED

How this triple was built (4 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: Bayard | Statement: [Bayard, West Virginia, namedAfter, Bayard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bayard
Context triple: [Bayard, West Virginia, namedAfter, Bayard]
  • A. Bayard
    Bayard is a masculine given name most notably associated with civil rights leader Bayard Rustin.
  • B. Nicholas Bayard
    Nicholas Bayard was a prominent 17th-century New York colonial official and landowner, known for his influential role in early New Amsterdam politics and society.
  • C. Mad Anthony
    Mad Anthony was the fiery and daring nickname of Anthony Wayne, a bold American Revolutionary War general known for his aggressive battlefield tactics.
  • D. Asa
    Asa is the given first name of A. Philip Randolph, the prominent American civil rights leader and labor organizer.
  • E. Chenier
    Chenier is a French-origin surname borne by various notable individuals, including athletes, musicians, and public figures.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bayard
Triple: [Bayard, West Virginia, namedAfter, Bayard]
Generated description
Bayard is a small town in Grant County, West Virginia, known historically as a coal and timber community in the Appalachian region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bayard
Target entity description: Bayard is a small town in Grant County, West Virginia, known historically as a coal and timber community in the Appalachian region.
  • A. Bayard
    Bayard is a masculine given name most notably associated with civil rights leader Bayard Rustin.
  • B. Nicholas Bayard
    Nicholas Bayard was a prominent 17th-century New York colonial official and landowner, known for his influential role in early New Amsterdam politics and society.
  • C. Mad Anthony
    Mad Anthony was the fiery and daring nickname of Anthony Wayne, a bold American Revolutionary War general known for his aggressive battlefield tactics.
  • D. Asa
    Asa is the given first name of A. Philip Randolph, the prominent American civil rights leader and labor organizer.
  • E. Chenier
    Chenier is a French-origin surname borne by various notable individuals, including athletes, musicians, and public figures.
  • F. None of above. chosen

Provenance (5 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_69a498fc69ec8190b61722bd4b67c4d2 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c4d9575881908bb58598e5a80590 completed March 1, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad016930ec8190ab3900d6f40c4aa0 completed March 8, 2026, 4:56 a.m.
NEDg Description generation batch_69ad01d1c01c81908917c4837ed2b393 completed March 8, 2026, 4:57 a.m.
NED2 Entity disambiguation (via description) batch_69ad0265f610819085a2dd293abd4812 completed March 8, 2026, 5 a.m.
Created at: March 1, 2026, 8 p.m.