Triple
T19962717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Falling Soldier |
E479854
|
entity |
| Predicate | subjectMilitarySide |
P375
|
FINISHED |
| Object | Republican forces |
—
|
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: Republican forces | Statement: [The Falling Soldier, subjectMilitarySide, Republican forces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectMilitarySide Context triple: [The Falling Soldier, subjectMilitarySide, Republican forces]
-
A.
conflictSide
chosen
Indicates that an entity participates as a distinct party or faction on one side of a conflict or dispute.
-
B.
militaryCasualtiesSide
Indicates the side or party in a conflict to which the recorded military casualties belong.
-
C.
stateOfForces
Indicates the condition, disposition, or readiness level of military or organizational forces at a given time.
-
D.
garrisonSide
Indicates the side, faction, or allegiance that a garrison is associated with or belongs to.
-
E.
countryMilitary
Indicates that a country possesses, controls, or is associated with a particular military force or armed organization.
- 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65af51b4c81909ba156a489cbc551 |
completed | April 20, 2026, 4:57 p.m. |
| PD | Predicate disambiguation | batch_69e537f7e4848190b431a69ec3f1b609 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:54 p.m.