Triple

T13064845
Position Surface form Disambiguated ID Type / Status
Subject Michael Maloney E329293 entity
Predicate familyName P18 FINISHED
Object Maloney E817161 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: Maloney | Statement: [Michael Maloney, familyName, Maloney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maloney
Context triple: [Michael Maloney, familyName, Maloney]
  • A. Maloney chosen
    Maloney is a surname most notably associated with American actress Dorothy Malone, known for her roles in classic Hollywood films and television.
  • B. Mahoney
    Mahoney is a surname of Irish origin borne by various notable individuals across fields such as politics, sports, and entertainment.
  • C. Mullaney
    Mullaney is a surname of Irish origin borne by various notable individuals in sports, politics, and the arts.
  • D. Malone
    Malone is a common English-language surname borne by numerous notable individuals across sports, entertainment, and public life.
  • E. McNulty
    McNulty is an Irish-origin surname borne by various notable individuals, including entertainers such as American singer and actor Dennis Day.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980e9bdfc81908eb90fb50597df64 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbe630808190a9a3481127bbaa86 completed May 3, 2026, 4:15 a.m.
Created at: April 9, 2026, 8:59 p.m.