Triple
T22608132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Mason |
E566619
|
entity |
| Predicate | occupationBeforeInvasion |
P43088
|
FINISHED |
| Object | history professor |
—
|
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: history professor | Statement: [Tom Mason, occupationBeforeInvasion, history professor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: occupationBeforeInvasion Context triple: [Tom Mason, occupationBeforeInvasion, history professor]
-
A.
earlierOccupation
Indicates that one occupation held by an entity occurred before another occupation in that entity’s work history.
-
B.
preWarOccupation
chosen
Indicates the occupation or role a person held before a specific war or armed conflict.
-
C.
preWarRole
Indicates the role, position, or function an entity held before the onset of a specified war or conflict.
-
D.
economicRoleBeforeCivilWar
Indicates the economic function or position an entity held prior to the outbreak of the Civil War.
-
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_69e245884860819081046ce07d5872c4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f167e86794819097e9c1ea83db52e6 |
completed | April 29, 2026, 2:07 a.m. |
| PD | Predicate disambiguation | batch_69ee627be4248190889a88764624e174 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 17, 2026, 2:55 p.m.