Triple

T12023081
Position Surface form Disambiguated ID Type / Status
Subject John Cheever E286202 entity
Predicate spouse P13 FINISHED
Object Mary Winternitz
Mary Winternitz was the wife of American novelist and short story writer John Cheever.
 E1030598 NE FINISHED

How this triple was built (4 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 Winternitz | Statement: [John Cheever, spouse, Mary Winternitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mary Winternitz
Context triple: [John Cheever, spouse, Mary Winternitz]
  • A. Ruth Wenger
    Ruth Wenger was a Swiss singer and writer best known for her brief marriage to Nobel Prize–winning author Hermann Hesse.
  • B. Evelyn Meltzer
    Evelyn Meltzer is an individual notable enough to be recognized as a prominent bearer of the surname Meltzer.
  • C. Margaret Minsky
    Margaret Minsky is an American computer scientist and researcher known for her work in human-computer interaction and educational technology, and as the daughter of AI pioneer Marvin Minsky.
  • D. Margaret Shenberg
    Margaret Shenberg was the first wife of influential Hollywood film producer and studio executive Louis B. Mayer.
  • E. Eleanor Sokoloff
    Eleanor Sokoloff was a renowned American pianist and long-serving pedagogue celebrated for training generations of leading pianists at the Curtis Institute of Music.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mary Winternitz
Triple: [John Cheever, spouse, Mary Winternitz]
Generated description
Mary Winternitz was the wife of American novelist and short story writer John Cheever.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mary Winternitz
Target entity description: Mary Winternitz was the wife of American novelist and short story writer John Cheever.
  • A. Ruth Wenger
    Ruth Wenger was a Swiss singer and writer best known for her brief marriage to Nobel Prize–winning author Hermann Hesse.
  • B. Evelyn Meltzer
    Evelyn Meltzer is an individual notable enough to be recognized as a prominent bearer of the surname Meltzer.
  • C. Margaret Minsky
    Margaret Minsky is an American computer scientist and researcher known for her work in human-computer interaction and educational technology, and as the daughter of AI pioneer Marvin Minsky.
  • D. Margaret Shenberg
    Margaret Shenberg was the first wife of influential Hollywood film producer and studio executive Louis B. Mayer.
  • E. Eleanor Sokoloff
    Eleanor Sokoloff was a renowned American pianist and long-serving pedagogue celebrated for training generations of leading pianists at the Curtis Institute of Music.
  • F. None of above. chosen

Provenance (5 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903ee4f9081909e5a58ecbd830b14 completed April 10, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f70a114ccc81909bc428c40c01a461 completed May 3, 2026, 8:40 a.m.
NEDg Description generation batch_69f70b5dbcc4819081b5ba410e319eb7 completed May 3, 2026, 8:46 a.m.
NED2 Entity disambiguation (via description) batch_69f70c4c6f908190b2ebc2a90b049e59 completed May 3, 2026, 8:50 a.m.
Created at: April 8, 2026, 9:47 p.m.