Triple

T1769221
Position Surface form Disambiguated ID Type / Status
Subject Willis Van Devanter E38834 entity
Predicate givenName P17 FINISHED
Object Willis E31141 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: Willis | Statement: [Willis Van Devanter, givenName, Willis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Willis
Context triple: [Willis Van Devanter, givenName, Willis]
  • A. Willis chosen
    Willis is a masculine given name and surname of English origin, often considered a variant or cognate of the name Wilson.
  • B. Sullivan
    Sullivan is a common Irish surname that has been borne by numerous notable figures in politics, arts, sports, and other fields.
  • C. Sullivan
    Sullivan is a shortened name for the international law firm Sullivan & Worcester LLP, known for its corporate, tax, and financial legal services.
  • D. Wayne
    Wayne is a masculine given name of English origin commonly used in the United States and other English-speaking countries.
  • E. Wayne
    Wayne is a suburban community in Pennsylvania’s Main Line region, known for its residential neighborhoods and commuter access to Philadelphia.
  • 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_69a8862e61708190af97b9838cc3f5de completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa648d9f2c8190aca4884648a69eb0 completed March 6, 2026, 5:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada991564c81909ae00fdcb47f52af completed March 8, 2026, 4:53 p.m.
Created at: March 4, 2026, 7:31 p.m.