Triple

T16278498
Position Surface form Disambiguated ID Type / Status
Subject Brad Livingstone E395199 entity
Predicate spouse P13 FINISHED
Object Linda A. Livingstone E92540 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: Linda A. Livingstone | Statement: [Brad Livingstone, spouse, Linda A. Livingstone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Linda A. Livingstone
Context triple: [Brad Livingstone, spouse, Linda A. Livingstone]
  • A. Linda A. Livingstone chosen
    Linda A. Livingstone is an American academic leader and scholar in management who serves as the president of Baylor University.
  • B. Kaye V. Dowling
    Kaye V. Dowling was the wife of American film, radio, and television actor Hugh Marlowe.
  • C. Linda R. Gaddy
    Linda R. Gaddy was the wife of Theodore G. Bilbo, a controversial early 20th-century Mississippi politician and segregationist who served as both governor and U.S. senator.
  • D. Linda Pizzuti Henry
    Linda Pizzuti Henry is an American businesswoman and media executive, known for her leadership role at The Boston Globe and involvement in Fenway Sports Group.
  • E. Linda Gunderson
    Linda Gunderson is a kind-hearted Minnesota bookshop owner who becomes the human protagonist and caretaker of the rare macaw Blu in the animated film "Rio."
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2460f73648190b5c931f2ba2a09da completed April 17, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017c2b9688190b96d62d83a03f158 completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 5:05 a.m.