Triple
T36286247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hiram B. Granbury |
E893091
|
entity |
| Predicate | heldAsPrisonerOfWarBy |
P6764
|
FINISHED |
| Object | United States |
—
|
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: United States | Statement: [Hiram B. Granbury, heldAsPrisonerOfWarBy, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heldAsPrisonerOfWarBy Context triple: [Hiram B. Granbury, heldAsPrisonerOfWarBy, United States]
-
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.
UnionPrisonersTaken
Indicates that Union forces captured and held individuals as prisoners.
-
C.
prisonerOf
Indicates that one entity is held in custody or confinement by another entity, typically under legal or authoritative control.
-
D.
countryOfImprisonment
Indicates the country in which a person or entity is or was imprisoned.
-
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_69f76e4955c08190b8cfddca34fc0242 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7ba6d06f48190a71b5a2f19e2232f |
completed | May 3, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a4aad48190a62e41c5e39339d9 |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:09 p.m.