Triple

T19619092
Position Surface form Disambiguated ID Type / Status
Subject Willis Goldbeck E470947 entity
Predicate givenName P17 FINISHED
Object Willis NE NERFINISHED

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 Goldbeck, givenName, Willis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Willis
Context triple: [Willis Goldbeck, 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. Le Willis
    Le Willis is the original French title of Giacomo Puccini’s early one-act opera-ballet better known as Le Villi.
  • C. Logano
    Logano is the surname of American professional stock car racing driver and NASCAR Cup Series champion Joey Logano.
  • D. Sullivan
    Sullivan is a common Irish surname that has been borne by numerous notable figures in politics, arts, sports, and other fields.
  • E. Sullivan
    Sullivan is a shortened name for the international law firm Sullivan & Worcester LLP, known for its corporate, tax, and financial legal services.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e510fa248190b7afb274a1d4cf73 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640e4570c81909fc4f9b871346337 completed April 20, 2026, 3:06 p.m.
Created at: April 10, 2026, 1:43 p.m.