Triple

T10003570
Position Surface form Disambiguated ID Type / Status
Subject Willis Carrier E198185 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 Carrier, givenName, Willis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Willis
Context triple: [Willis Carrier, 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 suburban township in Passaic County, New Jersey, known for its residential communities, shopping centers, and proximity to New York City.
  • E. Wayne
    Wayne is a masculine given name of English origin commonly used in the United States and other English-speaking countries.
  • 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_69ca830fcca48190bbbd9b20c233835f completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd12f6488190bd5257b5f65437cc completed April 2, 2026, 1:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26a41e25881908c7d1e15daeffc44 completed April 5, 2026, 1:57 p.m.
Created at: March 30, 2026, 8:51 p.m.