Triple

T3292333
Position Surface form Disambiguated ID Type / Status
Subject Maggie Smith E69129 entity
Predicate familyName P18 FINISHED
Object Smith E30542 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: Smith | Statement: [Maggie Smith, familyName, Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Smith
Context triple: [Maggie Smith, familyName, Smith]
  • A. Smith chosen
    Smith is a common English surname borne by numerous notable individuals across diverse fields such as politics, arts, sports, and academia.
  • B. Jones
    Jones is a common English-language surname borne by numerous notable individuals across fields such as entertainment, sports, politics, and science.
  • C. John
    John is the first name of Dennis Hastert, the former Speaker of the United States House of Representatives.
  • D. John
    John is the given name of John McCain III, the American politician and longtime U.S. senator from Arizona who was the 2008 Republican presidential nominee.
  • E. John
    John is the given name of John Madden, the famed American football coach, broadcaster, and namesake of the Madden NFL video game series.
  • 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_69ad859d45748190b0742408c954b39f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb07379dc8190b7bb409bcf42bdd6 completed March 8, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3cfec98819094208d2cb6e459ea completed March 12, 2026, 5:11 p.m.
Created at: March 8, 2026, 3:10 p.m.