Triple

T15911326
Position Surface form Disambiguated ID Type / Status
Subject Tipper Gore E385853 entity
Predicate hasChild P369 FINISHED
Object Karenna Gore E149000 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: Karenna Gore | Statement: [Tipper Gore, hasChild, Karenna Gore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karenna Gore
Context triple: [Tipper Gore, hasChild, Karenna Gore]
  • A. Karenna Gore chosen
    Karenna Gore is an American lawyer, author, and environmental activist who is the daughter of former U.S. Vice President Al Gore and focuses on climate justice and ethics.
  • B. Jessica Plummer
    Jessica Plummer is a British actress and singer known for her roles in television dramas and as a former member of the girl group Neon Jungle.
  • C. Katherine Perry
    Katherine Perry was an American silent film actress active in the early 20th century, known for her roles in comedies and dramas during Hollywood's formative years.
  • D. Nicole Paradis Grindle
    Nicole Paradis Grindle is an American film producer known for her work on major Pixar animated features, including Incredibles 2.
  • E. Tamlyn Tomita
    Tamlyn Tomita is a Japanese-American actress best known for her breakout role in The Karate Kid Part II and her extensive work in film and television, including projects like The Joy Luck Club and The Man in the High Castle.
  • 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1565f621c8190a52cda28237610e8 completed April 16, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb05750ac81908860143f4ca26cc7 completed May 9, 2026, 10:08 p.m.
Created at: April 10, 2026, 4:52 a.m.