Triple

T13831331
Position Surface form Disambiguated ID Type / Status
Subject Inez Reynolds E332405 entity
Predicate hasRelative P367 FINISHED
Object James Reynolds E546287 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: James Reynolds | Statement: [Inez Reynolds, hasRelative, James Reynolds]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Reynolds
Context triple: [Inez Reynolds, hasRelative, James Reynolds]
  • A. James Reynolds chosen
    James Reynolds is a relatively common personal name shared by multiple individuals across various professions and public records.
  • B. James Reynolds
    James Reynolds is the daughter of actors Ryan Reynolds and Blake Lively, known for being part of their high-profile celebrity family.
  • C. Samuel Reynolds
    Samuel Reynolds was the founder of St Edward's School in Oxford, an English educational institution established in the 19th century.
  • D. John Reynolds
    John Reynolds was an English Puritan theologian and scholar of the late 16th and early 17th centuries, best known for his role in initiating the King James Bible translation.
  • E. John Reynolds
    John Reynolds is an American actor and comedian known for his roles in television series like "Search Party" and "Stranger Things" as well as various independent films.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0299334481908c2b271eaf06e4b7 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69fbac802b7081909b36eebe85374594 completed May 6, 2026, 9:02 p.m.
Created at: April 9, 2026, 10:13 p.m.