Triple

T21931842
Position Surface form Disambiguated ID Type / Status
Subject "Rivers of Blood" speech E541584 entity
Predicate speaker P268 FINISHED
Object Enoch Powell NE NERFINISHED

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: Enoch Powell | Statement: ["Rivers of Blood" speech, speaker, Enoch Powell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Enoch Powell
Context triple: ["Rivers of Blood" speech, speaker, Enoch Powell]
  • A. Enoch Powell chosen
    Enoch Powell was a British Conservative politician, classical scholar, and controversial orator best known for his 1968 "Rivers of Blood" speech on immigration.
  • B. Norman Tebbit
    Norman Tebbit is a British Conservative politician and former cabinet minister, closely associated with Margaret Thatcher’s government in the 1980s.
  • C. Houseley Stevenson
    Houseley Stevenson was a British-born character actor known for his numerous supporting roles in American films and television during the mid-20th century.
  • D. Will Hutton
    Will Hutton is a British political economist, journalist, and author known for his influential commentary on economic policy and social democracy.
  • E. William Mitchinson Hicks
    William Mitchinson Hicks was a British mathematician and physicist known for his contributions to fluid dynamics and for serving as a prominent academic leader at the University of Sheffield.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c47d74488190a15119108794a307 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f123ffde64819084a869d2d569718f completed April 28, 2026, 9:17 p.m.
Created at: April 16, 2026, 7:47 p.m.