Triple

T2168684
Position Surface form Disambiguated ID Type / Status
Subject Mary Benedict Cushing E46971 entity
Predicate middleName P143 FINISHED
Object Benedict E42638 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: Benedict | Statement: [Mary Benedict Cushing, middleName, Benedict]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benedict
Context triple: [Mary Benedict Cushing, middleName, Benedict]
  • A. Benedict chosen
    Benedict is a masculine given name of Latin origin, most famously borne in modern times by the British actor Benedict Cumberbatch.
  • B. Benedetto
    Benedetto is the Italian form of the given name Benedict, traditionally associated with blessings and several notable religious and historical figures.
  • C. Francis
    Francis is the tough yet sensitive ladybug character from Pixar's animated film "A Bug's Life."
  • D. Francis
    Francis is the papal name of the current head of the Roman Catholic Church, known for his emphasis on humility, social justice, and interfaith dialogue.
  • E. Father Benedict
    Father Benedict is a key clerical figure in the story "The Mysterious Mother," serving as a moral and spiritual presence within its dark, gothic narrative.
  • 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_69a88a184cbc8190877791f6552c2484 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbeadaed481908d6afa942d7155b8 completed March 7, 2026, 5:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58f26334819095202544d37e6850 completed March 9, 2026, 5:21 a.m.
Created at: March 4, 2026, 7:45 p.m.