Triple

T7610653
Position Surface form Disambiguated ID Type / Status
Subject Round Table movement E172225 entity
Predicate hasParticipant P149 FINISHED
Object Philip Kerr E421891 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: Philip Kerr | Statement: [Round Table movement, hasParticipant, Philip Kerr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philip Kerr
Context triple: [Round Table movement, hasParticipant, Philip Kerr]
  • A. Philip Kerr chosen
    Philip Kerr was a British author best known for his Bernie Gunther series of historical crime novels set in Nazi and post-war Germany.
  • B. Len Deighton
    Len Deighton is a British author and historian best known for his spy novels, including "The IPCRESS File," and his influential works on military history.
  • C. Mick Herron
    Mick Herron is a British crime novelist best known for his acclaimed Slough House espionage series featuring disgraced MI5 agents.
  • D. Frederick Forsyth
    Frederick Forsyth is a British thriller writer renowned for his meticulously researched, politically charged novels such as "The Day of the Jackal."
  • E. Christopher Foyle
    Christopher Foyle is the principled, quietly determined British detective at the heart of the World War II-era crime drama series "Foyle's War."
  • 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_69c6994f50808190ba228764bb422417 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa20ac2c8190ac7ab90b4df406b6 completed March 27, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c868600c7c81909cdeebdb5b2bdaf3 completed March 28, 2026, 11:46 p.m.
Created at: March 27, 2026, 3:54 p.m.