Triple

T1177667
Position Surface form Disambiguated ID Type / Status
Subject Moses Taylor E25065 entity
Predicate name P16 FINISHED
Object Moses Taylor E25065 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: Moses Taylor | Statement: [Moses Taylor, name, Moses Taylor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moses Taylor
Context triple: [Moses Taylor, name, Moses Taylor]
  • A. Moses Taylor chosen
    Moses Taylor was a prominent 19th-century American merchant, banker, and railroad executive who became one of the wealthiest men of his era.
  • B. 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.
  • C. Ephraim Williams
    Ephraim Williams was an 18th-century American soldier and landowner whose bequest led to the establishment of Williams College in Massachusetts.
  • D. Ephraim Hart
    Ephraim Hart was an early American merchant and broker who was among the founders of what became the New York Stock Exchange.
  • E. Samuel Ellis
    Samuel Ellis was the landowner after whom Ellis Island in New York Harbor was named.
  • 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_69a494267b4c819088c97a59182bf56a completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd0ebbd08190a441d16a5b65a15e completed March 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69adb5a95a7c81908ea80c0f857a8d4a completed March 8, 2026, 5:45 p.m.
Created at: March 1, 2026, 7:45 p.m.