Triple

T7226696
Position Surface form Disambiguated ID Type / Status
Subject Schiff E154797 entity
Predicate hasNotableBearer P458 FINISHED
Object Stacy Schiff E366665 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: Stacy Schiff | Statement: [Schiff, hasNotableBearer, Stacy Schiff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stacy Schiff
Context triple: [Schiff, hasNotableBearer, Stacy Schiff]
  • A. Stacy Schiff
    Stacy Schiff is a Pulitzer Prize–winning American biographer and essayist known for acclaimed works on figures such as Cleopatra, Vera Nabokov, and the Salem witch trials.
  • B. Amanda Foreman
    Amanda Foreman is an American actress best known for her recurring role as Meghan Rotundi on the television series "Felicity."
  • C. Stacy Madeleine Schiff chosen
    Stacy Madeleine Schiff is a Pulitzer Prize–winning American author and biographer known for her meticulously researched works on historical figures such as Cleopatra and Vera Nabokov.
  • D. Kathleen Middlekauff
    Kathleen Middlekauff is an American academic and former spouse of investigative journalist and author Bob Woodward.
  • E. Ruth Franklin
    Ruth Franklin is an American literary critic and biographer best known for her acclaimed biography of novelist Shirley Jackson.
  • 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_69c68811dd1c8190ac460bb39e64e1f0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6e9de21e081908f30700f6211c5ef completed March 27, 2026, 8:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cc17a3788190842a852fb4b96185 completed March 28, 2026, 12:39 p.m.
Created at: March 27, 2026, 2:54 p.m.