Triple

T17698089
Position Surface form Disambiguated ID Type / Status
Subject Ray Ferrier E441223 entity
Predicate hasRelative P367 FINISHED
Object Mary Ann 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: Mary Ann | Statement: [Ray Ferrier, hasRelative, Mary Ann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Ann
Context triple: [Ray Ferrier, hasRelative, Mary Ann]
  • A. Mary Ann
    Mary Ann is the namesake of the city of Marianna in Florida.
  • B. Mary Ann
    "Mary Ann" is a song by the American punk rock band Squirtgun, recognized as one of their more notable tracks.
  • C. Mary Ann chosen
    Mary Ann is a feminine given name, traditionally a compound of "Mary" and "Ann," used in various English-speaking cultures.
  • D. Mary Anne
    Mary Anne, Viscountess Beaconsfield, was the wife of British Prime Minister Benjamin Disraeli and a notable Victorian-era social figure.
  • E. Mary Ann Day
    Mary Ann Day was the second wife of American abolitionist John Brown and the mother of several of his children, who supported his family during his militant anti-slavery activities.
  • 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_69d8b9ea20b48190ace88bb46b01e6a9 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47158be9c8190bbf4e5162ff74ad2 completed April 19, 2026, 6:08 a.m.
Created at: April 10, 2026, 10:04 a.m.