Triple
T10414199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A. W. Phillips |
E245473
|
entity |
| Predicate | prisonerOfWar |
P6764
|
FINISHED |
| Object | held by Japanese forces during World War II |
—
|
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: held by Japanese forces during World War II | Statement: [A. W. Phillips, prisonerOfWar, held by Japanese forces during World War II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: prisonerOfWar Context triple: [A. W. Phillips, prisonerOfWar, held by Japanese forces during World War II]
-
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.
prisonerOf
Indicates that one entity is held in custody or confinement by another entity, typically under legal or authoritative control.
-
C.
UnionPrisonersTaken
Indicates that Union forces captured and held individuals as prisoners.
-
D.
captivesTaken
Indicates that one entity has taken another entity or group into captivity, holding them against their will.
-
E.
prisonerSide
Indicates that one party in a conflict, case, or situation is aligned with or belongs to the side of the prisoner.
- 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea0ec6fc8190a71af759226a3cba |
completed | April 7, 2026, 11:27 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb6f160819090040644a12395ec |
completed | April 7, 2026, 10:43 a.m. |
Created at: April 6, 2026, 12:10 p.m.