Triple
T28794598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Everett Alvarez Jr. |
E727050
|
entity |
| Predicate | wasPrisonerOfWarIn |
P6764
|
FINISHED |
| Object | North Vietnam |
—
|
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: North Vietnam | Statement: [Everett Alvarez Jr., wasPrisonerOfWarIn, North Vietnam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasPrisonerOfWarIn Context triple: [Everett Alvarez Jr., wasPrisonerOfWarIn, North Vietnam]
-
A.
prisonersOfWar
chosen
Indicates a relationship where certain individuals are held in custody by an enemy during an armed conflict as prisoners of war.
-
B.
capturedInWar
Indicates that one entity was taken prisoner or seized by another entity as a result of armed conflict or wartime actions.
-
C.
wasOccupiedDuringWar
Indicates that a place or territory was under military or foreign control for some period during a specified war.
-
D.
numberOfPrisonersDuringWar
Indicates the count of prisoners held during a specified war or wartime period.
-
E.
UnionPrisonersTaken
Indicates that Union forces captured and held individuals as prisoners.
- 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_69f0319b7c44819085736bcc256185e6 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f658ee40088190b71e1219407690d0 |
completed | May 2, 2026, 8:05 p.m. |
| PD | Predicate disambiguation | batch_69f65760fd3081908ffe014a5e2bf069 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 6:24 a.m.