Triple
T21931841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "Rivers of Blood" speech |
E541584
|
entity |
| Predicate | author |
P4
|
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, author, Enoch Powell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Enoch Powell Context triple: ["Rivers of Blood" speech, author, 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.