Triple
T17734730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mutaguchi Renya |
E442682
|
entity |
| Predicate | detainedAfterWar |
P11094
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Mutaguchi Renya, detainedAfterWar, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: detainedAfterWar Context triple: [Mutaguchi Renya, detainedAfterWar, yes]
-
A.
detainedAfter
chosen
Indicates that one entity is held in custody or confinement following another specified event or action.
-
B.
prisonersOfWar
Indicates a relationship where certain individuals are held in custody by an enemy during an armed conflict as prisoners of war.
-
C.
wasDetainedDuring
Indicates that an entity was held in custody or confinement for some period of time during a specified event or time interval.
-
D.
recapturedByDuringWWII
Indicates that an entity was taken back or regained by another entity specifically during the period of World War II.
-
E.
capturedInWar
Indicates that one entity was taken prisoner or seized by another entity as a result of armed conflict or wartime actions.
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e478e98a00819089490be2aa36873d |
completed | April 19, 2026, 6:40 a.m. |
| PD | Predicate disambiguation | batch_69e3cde815e08190881972e2d80d151e |
completed | April 18, 2026, 6:31 p.m. |
Created at: April 10, 2026, 10:08 a.m.