Triple

T14338694
Position Surface form Disambiguated ID Type / Status
Subject Philipson E355533 entity
Predicate hasVariantSpellingOf P457 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: [Philipson, hasVariantSpellingOf, Phillips]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phillips
Context triple: [Philipson, hasVariantSpellingOf, 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. Haseltine
    Haseltine is a surname of English origin borne by various notable individuals, including politicians, artists, and academics.
  • E. Filips
    Filips is the given name of Philip William, Prince of Orange, a 16th-century Dutch nobleman and heir to William the Silent.
  • 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_69d8278fa2108190bc0d0e7939c1eb03 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8e8674c0819091dfbe9c50778c5e completed April 14, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd469bc538819099ed5b7061cf140d completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:14 a.m.