Triple
T32185652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Airman First Class (USSF enlisted rank) |
E822101
|
entity |
| Predicate | typicalCareerPhase |
P19243
|
FINISHED |
| Object | early career |
—
|
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: early career | Statement: [Airman First Class (USSF enlisted rank), typicalCareerPhase, early career]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalCareerPhase Context triple: [Airman First Class (USSF enlisted rank), typicalCareerPhase, early career]
-
A.
partOfCareer
chosen
Indicates that one entity represents a role, position, or period that forms a component or phase within another entity’s overall career.
-
B.
appliesDuringCareerPhase
Indicates that something is relevant or in effect only during a specified phase of an entity’s career.
-
C.
chronologicallyPrecedesCareerPhase
Indicates that one career phase occurs earlier in time than another career phase.
-
D.
showsCareerPhaseOf
Indicates that something depicts or represents a particular phase or stage in an entity’s career.
-
E.
supportsCareerStage
Indicates that one entity provides resources, opportunities, or conditions that are appropriate or beneficial for another entity’s specific stage in their career.
- 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_69f3490755288190aee11740a34862f9 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379eaa540819095a1c5d9f3513f9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 12:35 a.m.