Triple

T10876081
Position Surface form Disambiguated ID Type / Status
Subject Reynolds Square E256801 entity
Predicate namedAfter P63 FINISHED
Object John Reynolds E824148 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: John Reynolds | Statement: [Reynolds Square, namedAfter, John Reynolds]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Reynolds
Context triple: [Reynolds Square, namedAfter, John Reynolds]
  • A. 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.
  • B. John Reynolds chosen
    John Reynolds was a colonial-era British official who served as a royal governor of the Province of Georgia in North America.
  • C. 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.
  • D. James Roberts
    James Roberts is the birth name of Ed Lover, an American DJ, radio personality, actor, and former Yo! MTV Raps host.
  • E. Reynold Brown
    Reynold Brown was an American illustrator best known for his dramatic and dynamic movie poster art for numerous mid-20th-century Hollywood films, especially in the science fiction and horror genres.
  • 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_69d6aa848804819081b2713ca0bedf06 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d751ac901881909938cabe4d21bdbf completed April 9, 2026, 7:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69e42d4ab9bc81908a2522d1334390fc completed April 19, 2026, 1:18 a.m.
Created at: April 8, 2026, 9:21 p.m.