Triple

T10790439
Position Surface form Disambiguated ID Type / Status
Subject Cornelia Connelly E254563 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: [Cornelia Connelly, familyName, Connelly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Connelly
Context triple: [Cornelia 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. Conneely
    Conneely is an Irish surname, often considered a variant of Connelly, with roots in Gaelic family names.
  • C. Corrigan
    Corrigan is an Irish-origin surname borne by numerous notable figures in fields such as religion, politics, sports, and entertainment.
  • D. Connel
    Connel is a small village in Argyll and Bute on the west coast of Scotland, situated near Oban and known for the Connel Bridge over the narrows of Loch Etive.
  • E. Connolly
    Connolly is a surname of Irish origin borne by numerous notable figures in politics, arts, and sports.
  • 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d732f5b8248190a633dc44ae620a3a completed April 9, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69de5637ec50819087f1a0372f89197d completed April 14, 2026, 2:59 p.m.
Created at: April 8, 2026, 9:17 p.m.