Triple

T3974936
Position Surface form Disambiguated ID Type / Status
Subject Wendell Phillips Garrison E85616 entity
Predicate givenName P17 FINISHED
Object Phillips E71930 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: Phillips | Statement: [Wendell Phillips Garrison, givenName, Phillips]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phillips
Context triple: [Wendell Phillips Garrison, givenName, Phillips]
  • A. Phillips chosen
    Phillips is a common English-language surname borne by numerous notable individuals across fields such as science, politics, sports, and the arts.
  • B. Philipse
    Philipse is the surname of a prominent colonial-era merchant and landowning family in what is now New York, notably associated with Frederick Philipse I.
  • C. Phillips (company name)
    Phillips is a leading international auction house specializing in contemporary art, design, watches, and other luxury collectibles.
  • D. Filips
    Filips is the given name of Philip William, Prince of Orange, a 16th-century Dutch nobleman and heir to William the Silent.
  • E. Brinkman
    Brinkman is a surname of Germanic origin borne by various notable individuals across fields such as sports, politics, and the arts.
  • 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_69aed93908348190a26c8aaf4fab3e86 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef9b511f88190afca12c77481b344 completed March 9, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5401712188190aa6144dc1d5dcab6 completed March 14, 2026, 11:01 a.m.
Created at: March 9, 2026, 3:33 p.m.