Triple

T11302439
Position Surface form Disambiguated ID Type / Status
Subject Stroudsburg, Pennsylvania E267627 entity
Predicate foundedBy P104 FINISHED
Object Jacob Stroud E917968 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: Jacob Stroud | Statement: [Stroudsburg, Pennsylvania, foundedBy, Jacob Stroud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jacob Stroud
Context triple: [Stroudsburg, Pennsylvania, foundedBy, Jacob Stroud]
  • A. Jacob Stroud chosen
    Jacob Stroud was an early American settler and landowner who founded the community that became Stroudsburg, Pennsylvania.
  • B. Jack Deerson
    Jack Deerson is a cinematographer best known for his work on the 1971 road movie "Two-Lane Blacktop."
  • C. Steven Stroud
    Steven Stroud is an American illustrator and cover artist known for his work on numerous science fiction and fantasy book covers.
  • D. George Denbrough
    George Denbrough is a young boy from Stephen King's horror novel "It," whose tragic death at the hands of Pennywise the Clown drives much of the story's emotional and narrative conflict.
  • E. James Stark
    James Stark was a 19th-century English landscape painter associated with the Norwich School, known for his detailed and atmospheric depictions of the English countryside.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9a5c3788190ba54eda514b97903 completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e525a842dc81909c84d8bd1a6414fa completed April 19, 2026, 6:57 p.m.
Created at: April 8, 2026, 9:32 p.m.