Triple
T1439817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peace and Bread in Time of War |
E31043
|
entity |
| Predicate | addressesTheme |
P27483
|
FINISHED |
| Object | tension between patriotism and pacifism |
—
|
LITERAL 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: tension between patriotism and pacifism | Statement: [Peace and Bread in Time of War, addressesTheme, tension between patriotism and pacifism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: addressesTheme Context triple: [Peace and Bread in Time of War, addressesTheme, tension between patriotism and pacifism]
-
A.
addressesConcept
chosen
Indicates that one entity deals with, discusses, or responds to the subject matter represented by another entity.
-
B.
themedAs
Indicates that something is characterized, styled, or organized according to a particular theme or motif.
-
C.
addresses
Indicates that one entity directs speech, communication, or written correspondence specifically toward another entity.
-
D.
themeFor
Indicates that something serves as the central subject, topic, or focus for another thing (such as an event, work, or activity).
-
E.
address
Indicates that one entity directs spoken or written communication specifically to another entity.
- 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_69a4991633388190a4d61b5a98aa407a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c5ff8dbc81909eafcfc9f2260a22 |
completed | March 1, 2026, 11:04 p.m. |
| PD | Predicate disambiguation | batch_69a4c478f65481909ee716791c663491 |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8 p.m.