Triple
T475411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Wounded Drummer Boy |
E9049
|
entity |
| Predicate | intendedMessage |
P13485
|
FINISHED |
| Object | reflection on human cost of war |
—
|
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: reflection on human cost of war | Statement: [The Wounded Drummer Boy, intendedMessage, reflection on human cost of war]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedMessage Context triple: [The Wounded Drummer Boy, intendedMessage, reflection on human cost of war]
-
A.
firstMessageTo
Indicates that one entity is the initial sender of a message or communication to another entity.
-
B.
firstMessageFrom
Indicates that the related message is the earliest or initial message sent from one entity to another within a given context or conversation.
-
C.
hasMean
Indicates that one entity possesses, exhibits, or is characterized by a particular mean value or average.
-
D.
pretext
Indicates that one party uses a stated reason or excuse to conceal their true motive for an action or decision.
-
E.
correspondedWith
Indicates that two entities engaged in mutual communication, typically by exchanging messages or letters over a period of time.
- F. None of above. chosen
Provenance (4 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_69a2e7ff81708190b0507a24a997232c |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f03b5e5081908ee3dba9d19a6871 |
completed | Feb. 28, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69a2edeed31881908cf43beed410572d |
completed | Feb. 28, 2026, 1:30 p.m. |
| PDg | Predicate description generation | batch_69a2eeba8a488190986cc7381332f783 |
completed | Feb. 28, 2026, 1:33 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.