Triple

T9089008
Position Surface form Disambiguated ID Type / Status
Subject Repton School E217829 entity
Predicate notableAlumnus P304 FINISHED
Object Michael Ramsey E207150 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: Michael Ramsey | Statement: [Repton School, notableAlumnus, Michael Ramsey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Ramsey
Context triple: [Repton School, notableAlumnus, Michael Ramsey]
  • A. Michael Ramsey chosen
    Michael Ramsey was the 100th Archbishop of Canterbury, a prominent 20th-century Anglican church leader and theologian known for his ecumenical work and spiritual writings.
  • B. William James Pullman
    William James Pullman is an American actor best known for his versatile film and television roles, including playing the U.S. president in the blockbuster movie "Independence Day."
  • C. Michael Pennington
    Michael Pennington is a distinguished English actor and director, particularly renowned for his work in classical theatre and Shakespearean performance.
  • D. Bob Gunton
    Bob Gunton is an American character actor best known for his portrayal of the strict prison warden Samuel Norton in the film "The Shawshank Redemption."
  • E. Michael Pate
    Michael Pate was an Australian actor and writer known for his prolific character roles in film and television from the 1940s through the 1980s.
  • 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_69ca83d8ab5881909d8fddae363b32b1 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc9657d48081909e0ae0f1fa8ff599 completed April 1, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d017e0d3cc8190b3e92b0a8f18489f completed April 3, 2026, 7:41 p.m.
Created at: March 30, 2026, 7:14 p.m.