Triple

T15631290
Position Surface form Disambiguated ID Type / Status
Subject Billie Connelly E375816 entity
Predicate familyName P18 FINISHED
Object Connelly E123970 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: Connelly | Statement: [Billie Connelly, familyName, Connelly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Connelly
Context triple: [Billie Connelly, familyName, Connelly]
  • A. Connelly chosen
    Connelly is a surname most prominently associated with American actress Jennifer Connelly, known for her acclaimed film roles since the 1980s.
  • B. Conerly
    Conerly is a surname most notably associated with Charlie Conerly, a prominent mid-20th-century American football quarterback.
  • C. Connon
    Connon is the surname of Helen Connon, a notable New Zealand educator and the first woman in the British Empire to earn a university degree with honors.
  • D. Conneely
    Conneely is an Irish surname, often considered a variant of Connelly, with roots in Gaelic family names.
  • E. Corrigan
    Corrigan is an Irish-origin surname borne by numerous notable figures in fields such as religion, politics, sports, and entertainment.
  • 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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04eb536348190b93ed3c178d1ffb8 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f44f0b881909ce36823e4314799 completed May 9, 2026, 4:22 p.m.
Created at: April 10, 2026, 4:14 a.m.