Triple

T13228270
Position Surface form Disambiguated ID Type / Status
Subject Bedford Flag E314936 entity
Predicate associatedWithPerson P37 FINISHED
Object Cornet Nathaniel Page E639130 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: Cornet Nathaniel Page | Statement: [Bedford Flag, associatedWithPerson, Cornet Nathaniel Page]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cornet Nathaniel Page
Context triple: [Bedford Flag, associatedWithPerson, Cornet Nathaniel Page]
  • A. Lafayette Reynolds
    Lafayette Reynolds is a flamboyant, sharp-tongued short-order cook and medium on the HBO vampire drama series "True Blood."
  • B. Blackford Oakes
    Blackford Oakes is a fictional American CIA agent and Cold War spy created by William F. Buckley Jr.
  • C. Nathaniel Folsom chosen
    Nathaniel Folsom was an American Revolutionary War officer and political leader from New Hampshire who played a key role in organizing and commanding the colony’s militia forces.
  • D. Marcus Gilmore
    Marcus Gilmore is an acclaimed American jazz drummer known for his innovative, polyrhythmic style and collaborations with leading contemporary jazz artists.
  • E. Bayard Veiller
    Bayard Veiller was an American playwright, screenwriter, and film director best known for his stage thrillers and their Hollywood adaptations in the early 20th century.
  • 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_69d98d3232d48190a3c792b025c596a6 completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff2a4b0c8190a853a1f6f4d1cbaf completed May 3, 2026, 7:54 a.m.
Created at: April 9, 2026, 9:21 p.m.