Triple

T16256829
Position Surface form Disambiguated ID Type / Status
Subject Betty Joan Perske E394650 entity
Predicate mother P120 FINISHED
Object Natalie Bacal E453320 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: Natalie Bacal | Statement: [Betty Joan Perske, mother, Natalie Bacal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Natalie Bacal
Context triple: [Betty Joan Perske, mother, Natalie Bacal]
  • A. Natalie Weinstein-Bacal chosen
    Natalie Weinstein-Bacal was the mother of iconic American actress Lauren Bacall and played a formative role in her early life and upbringing.
  • B. Natalie Baszile
    Natalie Baszile is an American author best known for her novel "Queen Sugar," which was adapted into the acclaimed television series created by Ava DuVernay and produced by Oprah Winfrey.
  • C. Natalie West
    Natalie West is an American actress best known for her role as Crystal Anderson Conner on the television sitcom "Roseanne."
  • D. Natalie Goodman
    Natalie Goodman is a central teenage character in the rock musical "Next to Normal," grappling with the emotional fallout of her mother's mental illness and her family's dysfunction.
  • E. Natalie Gold
    Natalie Gold is an American actress known for her roles in television series such as The Walking Dead: World Beyond and Succession, as well as various film and stage productions.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2459b1624819086bf681075097235 completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a006ecc2b4c8190ac9654ac826f198e completed May 10, 2026, 11:41 a.m.
Created at: April 10, 2026, 5:04 a.m.