Triple
T34165957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buzz Watson |
E876411
|
entity |
| Predicate | hasOccupationProgression |
P151109
|
FINISHED |
| Object | from civilian tech to reserve officer (in narrative) |
—
|
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: from civilian tech to reserve officer (in narrative) | Statement: [Buzz Watson, hasOccupationProgression, from civilian tech to reserve officer (in narrative)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOccupationProgression Context triple: [Buzz Watson, hasOccupationProgression, from civilian tech to reserve officer (in narrative)]
-
A.
hasCareerProgressionTo
chosen
Indicates that one role, position, or career stage naturally advances or transitions into another within a professional or occupational path.
-
B.
hasOccupationSequenceFrom
Indicates a relationship where one occupation or role follows another in a temporal sequence for the same entity.
-
C.
hasOccupationSequenceTo
Indicates that one occupation in a person’s work history directly follows another in temporal sequence.
-
D.
hasGivenProfession
Indicates that an entity holds or practices a specified profession or occupation.
-
E.
hasOccupationInWork
Indicates that an entity holds or performs a specific occupation within a particular work, project, or creative production.
- 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_69f349ad97ac8190bf1f17417c970e64 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70fdedf708190ab68c2d567e086d0 |
completed | May 3, 2026, 9:05 a.m. |
| PD | Predicate disambiguation | batch_69f70f3c5bfc81908585f52e196dafe5 |
completed | May 3, 2026, 9:02 a.m. |
Created at: May 1, 2026, 1:54 a.m.