Triple

T16643111
Position Surface form Disambiguated ID Type / Status
Subject Maria Ewing E404394 entity
Predicate name P16 FINISHED
Object Maria Ewing 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: Maria Ewing | Statement: [Maria Ewing, name, Maria Ewing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maria Ewing
Context triple: [Maria Ewing, name, Maria Ewing]
  • A. Maria Ewing chosen
    Maria Ewing was an acclaimed American opera singer and actress known for her intense dramatic presence and versatile mezzo-soprano and soprano roles on major international stages.
  • B. Maud Brewster
    Maud Brewster is a cultured and resilient poet and literary critic who becomes a central figure and love interest amid the brutal sea adventure in Jack London’s novel "The Sea-Wolf."
  • C. Elizabeth Snodgrass
    Elizabeth Snodgrass is a person notable enough to be specifically cited as a bearer of the Snodgrass surname.
  • D. Elizabeth Denniston
    Elizabeth Denniston was the wife of Irish-born American surveyor and Revolutionary War officer Charles Clinton.
  • E. Elizabeth Solley
    Elizabeth Solley is a central character in John Carpenter’s 1980 horror film "The Fog," portrayed as a young hitchhiker who becomes entangled in the supernatural events haunting the coastal town of Antonio Bay.
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ad27b5481908316b4f23fb8bc32 completed April 18, 2026, 12:36 p.m.
Created at: April 10, 2026, 5:18 a.m.