Triple

T10567258
Position Surface form Disambiguated ID Type / Status
Subject Lawrence Revere E249381 entity
Predicate familyName P18 FINISHED
Object Revere E249381 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: Revere | Statement: [Lawrence Revere, familyName, Revere]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Revere
Context triple: [Lawrence Revere, familyName, Revere]
  • A. Revere chosen
    Revere is a surname most notably associated with American historical figure Paul Revere and various other individuals in politics, arts, and public life.
  • B. Revere, Massachusetts
    Revere, Massachusetts is a coastal city just north of Boston known for Revere Beach, the oldest public beach in the United States.
  • C. Charlestown
    Charlestown is a district in north Manchester, England, known as a primarily residential area with local amenities and community facilities.
  • D. Charlestown
    Charlestown is a small town located within the Newcastle Local Municipality in the KwaZulu-Natal province of South Africa.
  • E. Charlestown
    Charlestown is a historic Boston neighborhood known for its colonial-era sites, including the Bunker Hill Monument and its waterfront along the Charles River.
  • 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5272ef5848190b76d671ea2d26314 completed April 7, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a10f17081909fd9465cf35685a1 completed April 10, 2026, 10:30 p.m.
Created at: April 6, 2026, 12:36 p.m.