Triple

T13843748
Position Surface form Disambiguated ID Type / Status
Subject Penny Marshall E332736 entity
Predicate mother P120 FINISHED
Object Marjorie Marshall E332736 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: Marjorie Marshall | Statement: [Penny Marshall, mother, Marjorie Marshall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marjorie Marshall
Context triple: [Penny Marshall, mother, Marjorie Marshall]
  • A. Marjorie Marshall chosen
    Marjorie Marshall was an American tap dance teacher and the mother of filmmaker and actress Penny Marshall.
  • B. Marjorie Harris
    Marjorie Harris is the wife of former American pastor and author Joshua Harris, known for her role alongside him during his years in evangelical ministry.
  • C. Faye B. Harwell
    Faye B. Harwell is an American landscape architect known for her work on prominent public memorials and historic landscapes in Washington, D.C.
  • D. Margaret Haley
    Margaret Haley was an influential American educator and labor activist who championed teachers' rights and helped pioneer the modern teachers' union movement.
  • E. Marjorie Jackson
    Marjorie Jackson was an Australian sprinter and multiple Olympic and Commonwealth Games champion, renowned in the early 1950s as one of the world’s fastest women.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02afce788190a74dce4e6a3569fa completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe0cce10c88190bf25404fc4c75bbf completed May 8, 2026, 4:18 p.m.
Created at: April 9, 2026, 10:13 p.m.