Triple

T10512957
Position Surface form Disambiguated ID Type / Status
Subject Sheldon E247960 entity
Predicate portrayedInFilmBy P9616 FINISHED
Object Penelope Allen E332762 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: Penelope Allen | Statement: [Sheldon, portrayedInFilmBy, Penelope Allen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Penelope Allen
Context triple: [Sheldon, portrayedInFilmBy, Penelope Allen]
  • A. Penelope Allen chosen
    Penelope Allen is an American actress best known for her supporting role in the 1975 crime drama film "Dog Day Afternoon."
  • B. Penelope Barker
    Penelope Barker was an American Revolutionary-era political activist best known for organizing and leading the 1774 Edenton Tea Party, one of the earliest recorded women’s political protests in the American colonies.
  • C. Penelope Milford
    Penelope Milford is an American actress best known for her Academy Award–nominated supporting role in the 1978 film "Coming Home."
  • D. Penelope Horner
    Penelope Horner was a British actress active in film and television during the mid-20th century, known for her supporting roles in comedies and dramas.
  • E. Beatrice Pearson
    Beatrice Pearson was an American film actress best known for her leading role in the 1948 film noir "Force of Evil."
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509ca214481909b3ed9265e7a6704 completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d933e4ae048190be51a02c571fab8b completed April 10, 2026, 5:31 p.m.
Created at: April 6, 2026, 12:27 p.m.