Triple
T27128533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Origins of the Second World War |
E681501
|
entity |
| Predicate | receivedCriticismFrom |
P3619
|
FINISHED |
| Object | Hugh Trevor-Roper |
—
|
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: Hugh Trevor-Roper | Statement: [The Origins of the Second World War, receivedCriticismFrom, Hugh Trevor-Roper]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: receivedCriticismFrom Context triple: [The Origins of the Second World War, receivedCriticismFrom, Hugh Trevor-Roper]
-
A.
hasCriticism
chosen
Indicates that one entity expresses disapproval, objection, or negative evaluation directed toward another entity.
-
B.
criticizedFor
Indicates that one entity expresses disapproval or negative judgment of another entity specifically because of a particular action, quality, or outcome.
-
C.
typeOfCriticism
Indicates that one entity is a specific kind or category of criticism directed at another entity or subject.
-
D.
criticalReception
Indicates how a work, performance, or product is evaluated and responded to by critics or professional reviewers.
-
E.
hasTargetOfCritique
Indicates that one entity is the object or focus of another entity’s criticism or evaluative critique.
- F. None of above.
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_69eefacbcc2081909ebf00daa23f1981 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c1f94ac8190bc6fbc7916fc0d82 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 27, 2026, 9:03 a.m.