Triple
T15052963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peace and War: A Theory of International Relations |
E379412
|
entity |
| Predicate | notableFor |
P22
|
FINISHED |
| Object | analysis of nuclear deterrence |
—
|
LITERAL FINISHED |
How this triple was built (1 step)
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: analysis of nuclear deterrence | Statement: [Peace and War: A Theory of International Relations, notableFor, analysis of nuclear deterrence]
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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69deda90b9948190a0d71de0b23188da |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 3:01 a.m.