Triple

T11481327
Position Surface form Disambiguated ID Type / Status
Subject Samuel Sharp E272155 entity
Predicate name P16 FINISHED
Object Samuel Sharp E272155 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: Samuel Sharp | Statement: [Samuel Sharp, name, Samuel Sharp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Samuel Sharp
Context triple: [Samuel Sharp, name, Samuel Sharp]
  • A. Samuel Sharp chosen
    Samuel Sharp is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Sharp.
  • B. Elisha Williams
    Elisha Williams was an 18th-century American clergyman, lawyer, and educator who served as a prominent early leader of Yale College.
  • C. Samuel Hopkins
    Samuel Hopkins was an American Revolutionary War officer and early Kentucky statesman after whom the city of Hopkinsville, Kentucky, is named.
  • D. Samuel Hopkins
    Samuel Hopkins was an 18th-century American Congregationalist theologian known for developing a rigorous Calvinist system later called Hopkinsianism, which became a central strand of New England theology.
  • E. Samuel Miller
    Samuel Miller was a prominent early 19th-century American Presbyterian theologian, educator, and church historian who helped shape Reformed theological education in the United States.
  • 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85a1d86b88190b180f6b0d0a27029 completed April 10, 2026, 2:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69e604410fbc819098b101c029b63525 completed April 20, 2026, 10:47 a.m.
Created at: April 8, 2026, 9:36 p.m.