Triple

T13229721
Position Surface form Disambiguated ID Type / Status
Subject Bladensburg, Maryland E314979 entity
Predicate namedAfter P63 FINISHED
Object Thomas Bladen E314979 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: Thomas Bladen | Statement: [Bladensburg, Maryland, namedAfter, Thomas Bladen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas Bladen
Context triple: [Bladensburg, Maryland, namedAfter, Thomas Bladen]
  • A. Thomas Bladen chosen
    Thomas Bladen was a colonial-era British official who served as governor of Maryland and lent his name to the town of Bladensburg.
  • B. Martin Bladen
    Martin Bladen was an 18th-century British politician and colonial administrator whose influence in imperial affairs led to places such as Bladen County, North Carolina being named in his honor.
  • C. Joseph Braden
    Joseph Braden was a 19th-century landowner and sugar planter in Florida whose name was given to the city of Bradenton.
  • D. Thomas Parris
    Thomas Parris was a member of the Parris family of colonial Salem, known primarily as the brother of Elizabeth Parris, whose accusations helped spark the Salem witch trials.
  • E. John Givings
    John Givings is a mentally unstable yet piercingly perceptive character in Richard Yates’s novel "Revolutionary Road," whose blunt insights expose the hidden truths and hypocrisies of the suburban couple at the story’s center.
  • 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d336ae08190bfc118cfbefddf84 completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f70a35ccc88190881a7066b7af8fea completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:21 p.m.