Triple

T20558922
Position Surface form Disambiguated ID Type / Status
Subject Mrs. Palfrey at the Claremont E504792 entity
Predicate starring P1507 FINISHED
Object Michael Pennington NE NERFINISHED

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: Michael Pennington | Statement: [Mrs. Palfrey at the Claremont, starring, Michael Pennington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Pennington
Context triple: [Mrs. Palfrey at the Claremont, starring, Michael Pennington]
  • A. Michael Pennington chosen
    Michael Pennington is a distinguished English actor and director, particularly renowned for his work in classical theatre and Shakespearean performance.
  • B. Michael Craig
    Michael Craig is a British actor and screenwriter known for his work in mid-20th-century film and television, including roles in dramas and thrillers.
  • C. Leo Willis
    Leo Willis was an American character actor active during the silent and early sound film eras, often appearing in comedies alongside stars like Harold Lloyd.
  • D. Jeffery Wood
    Jeffery Wood is an American actor best known for his role on the television sitcom "In the House."
  • E. Lewis Parker
    Lewis Parker is a British hip-hop producer and rapper known for his jazzy, sample-based boom-bap sound and influential work in the UK underground scene.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4b6587c8190aee63dc7cff244ea completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a5e178648190910795bae5422e50 completed April 20, 2026, 10:17 p.m.
Created at: April 16, 2026, 11:38 a.m.