Triple
T9998888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Captain John H. Miller |
E197272
|
entity |
| Predicate | occupationBeforeWar |
P43088
|
FINISHED |
| Object | schoolteacher |
—
|
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: schoolteacher | Statement: [Captain John H. Miller, occupationBeforeWar, schoolteacher]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: occupationBeforeWar Context triple: [Captain John H. Miller, occupationBeforeWar, schoolteacher]
-
A.
preWarOccupation
chosen
Indicates the occupation or role a person held before a specific war or armed conflict.
-
B.
earlierOccupation
Indicates that one occupation held by an entity occurred before another occupation in that entity’s work history.
-
C.
economicRoleBeforeCivilWar
Indicates the economic function or position an entity held prior to the outbreak of the Civil War.
-
D.
preWarCountry
Indicates that a country existed or held a particular status prior to a specified war or major armed conflict.
-
E.
occupationBeforeDeification
Indicates the role, job, or position an entity held prior to being deified or elevated to divine status.
- 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_69ca82f3b61c81908ecc2c1c96dbc2e4 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdcc8c78448190a5332f4ff8a7b3dd |
completed | April 2, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69cd1da2cf9081908a6c0eb5247d0bc2 |
completed | April 1, 2026, 1:29 p.m. |
Created at: March 30, 2026, 8:51 p.m.