Triple

T12369547
Position Surface form Disambiguated ID Type / Status
Subject Michael Redgrave E294964 entity
Predicate child P120 FINISHED
Object Corin Redgrave E516730 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: Corin Redgrave | Statement: [Michael Redgrave, child, Corin Redgrave]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Corin Redgrave
Context triple: [Michael Redgrave, child, Corin Redgrave]
  • A. Corin Redgrave chosen
    Corin Redgrave was an English stage and screen actor, and a member of the prominent Redgrave acting family, known for his work in classical theatre and numerous film and television roles.
  • B. Lynn Redgrave
    Lynn Redgrave was an acclaimed English actress from the famous Redgrave acting family, known for her versatile performances in film, television, and theatre.
  • C. Michael Redgrave
    Michael Redgrave was a distinguished English stage and film actor of the mid-20th century, acclaimed for his versatile performances in both classic theatre and notable British cinema.
  • D. Reggie Brown
    Reggie Brown is an American entrepreneur best known as a co-founder of Snapchat, the multimedia messaging app developed by Snap Inc.
  • E. Ron Todd
    Ron Todd is an American politician who served as the Kansas Insurance Commissioner before Kathleen Sebelius.
  • 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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93fa65a608190a1597a49751185a8 completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62abdad1c8190b083791d60138f2a completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:54 p.m.