Triple

T14041583
Position Surface form Disambiguated ID Type / Status
Subject Barbara Johns E337859 entity
Predicate familyName P18 FINISHED
Object Johns E179736 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: Johns | Statement: [Barbara Johns, familyName, Johns]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Johns
Context triple: [Barbara Johns, familyName, Johns]
  • A. Johns chosen
    Johns is a given name most notably associated with Johns Hopkins, the 19th-century American entrepreneur and philanthropist whose endowments founded Johns Hopkins University and Hospital.
  • B. Johns
    "Johns" is a 1996 independent drama film centered on two hustlers in Los Angeles, known for its gritty portrayal of street life and early-career performances by actors like David Arquette.
  • C. Jones
    Jones is a common English-language surname borne by numerous notable individuals across fields such as entertainment, sports, politics, and science.
  • D. John
    John is the given name of John Russell, 1st Earl Russell, a prominent 19th-century British statesman and Prime Minister.
  • E. John
    John is the given name of John Albert William Spencer-Churchill, a British aristocrat and 10th Duke of Marlborough.
  • 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de311814e48190adb637e1c97c0658 completed April 14, 2026, 12:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc33dbc8c819080b6cb3d589da7a1 completed May 6, 2026, 10:39 p.m.
Created at: April 9, 2026, 10:20 p.m.