Triple
T13380493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Rosecrans |
E319303
|
entity |
| Predicate | preWarProfession |
P43088
|
FINISHED |
| Object | civil engineer |
—
|
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: civil engineer | Statement: [William Rosecrans, preWarProfession, civil engineer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preWarProfession Context triple: [William Rosecrans, preWarProfession, civil engineer]
-
A.
earlierOccupation
Indicates that one occupation held by an entity occurred before another occupation in that entity’s work history.
-
B.
preWarCharacter
Indicates that a character existed or had a particular state or role prior to a specified war or conflict.
-
C.
wasProfessionalSoldier
Indicates that an individual served as a professional soldier, engaging in military service as their primary occupation.
-
D.
economicRoleBeforeCivilWar
Indicates the economic function or position an entity held prior to the outbreak of the Civil War.
-
E.
preWarOccupation
chosen
Indicates the occupation or role a person held before a specific war or armed conflict.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadce694788190881d1feac5b75720 |
completed | April 11, 2026, 11:44 p.m. |
| PD | Predicate disambiguation | batch_69d9a03189908190a784a2755f8d81e1 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:33 p.m.