Triple

T850679
Position Surface form Disambiguated ID Type / Status
Subject Jacqueline Kennedy Onassis E18377 entity
Predicate employer P7 FINISHED
Object Doubleday E22938 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: Doubleday | Statement: [Jacqueline Kennedy Onassis, employer, Doubleday]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doubleday
Context triple: [Jacqueline Kennedy Onassis, employer, Doubleday]
  • A. Doubleday chosen
    Doubleday is a major American publishing company known for releasing a wide range of influential fiction and nonfiction books.
  • B. Random House
    Random House is a major American book publishing company known for releasing a wide range of influential fiction and nonfiction titles.
  • C. Alfred A. Knopf
    Alfred A. Knopf is a prestigious American publishing house known for its high-quality literary fiction and nonfiction titles.
  • D. Simon & Schuster
    Simon & Schuster is a major American publishing company known for producing a wide range of bestselling fiction and nonfiction books.
  • E. Harper & Row
    Harper & Row was a major American publishing house known for producing influential works in literature, education, and academic scholarship.
  • 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_69a4938b04208190b82e1df6b572c548 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac215194819099e6bc1b5df58fb3 completed March 1, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4bfe2ce081908c358689ec2c58e6 completed March 7, 2026, 4:02 p.m.
Created at: March 1, 2026, 7:38 p.m.