Triple

T3444313
Position Surface form Disambiguated ID Type / Status
Subject Janice E72638 entity
Predicate etymologicalOrigin P453 FINISHED
Object John E39921 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: John | Statement: [Janice, etymologicalOrigin, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [Janice, etymologicalOrigin, John]
  • A. John
    John H. Sununu is an American politician and engineer who served as Governor of New Hampshire and later as White House Chief of Staff under President George H. W. Bush.
  • B. John chosen
    John is traditionally regarded as the author of the New Testament’s Book of Revelation, a prophetic and apocalyptic text in Christian scripture.
  • C. John
    John is the given name of John F. Sattler, likely referring to him in a more informal or abbreviated context.
  • D. John
    John is the given name of John L. Lewis, the influential American labor leader who headed the United Mine Workers of America and helped shape the modern labor movement.
  • E. John
    John is the given name of John Dryden Kuser, an American politician and member of a prominent New Jersey family 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_69ad85b05c848190b7a28ceec2bd7b74 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adba2b93dc819094e9cca1a5d9540a completed March 8, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69b360be3b6c81909ee0ac6d4512a56d completed March 13, 2026, 12:56 a.m.
Created at: March 8, 2026, 3:16 p.m.