Triple
T2773016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | J.E.B. Stuart |
E61500
|
entity |
| Predicate | preWarOccupation |
P43088
|
FINISHED |
| Object | U.S. Army officer |
—
|
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: U.S. Army officer | Statement: [J.E.B. Stuart, preWarOccupation, U.S. Army officer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preWarOccupation Context triple: [J.E.B. Stuart, preWarOccupation, U.S. Army officer]
-
A.
postWarOccupation
Indicates that one entity occupied, administered, or controlled another entity or territory in the period following a war.
-
B.
preWarCountry
Indicates that a country existed or held a particular status prior to a specified war or major armed conflict.
-
C.
countryOccupied
Indicates that one country has taken control of and is occupying the territory of another country, typically through military or coercive means.
-
D.
regionBefore1945
Indicates that one region existed or was defined in a particular way prior to the year 1945.
-
E.
statusDuringWorldWarII
Indicates the role, condition, or classification an entity had specifically during the period of World War II.
- F. None of above. chosen
Provenance (4 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_69ab4b7cd13481909174bca9809ed259 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddceb9d88190961e30d521a21552 |
completed | March 7, 2026, 8:11 a.m. |
| PD | Predicate disambiguation | batch_69abdcfed608819080988e93df7bdf7c |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abddcc348081908b5f760899389d4f |
completed | March 7, 2026, 8:11 a.m. |
Created at: March 6, 2026, 9:57 p.m.