Triple
T36636770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William H. Pitsenbarger |
E904483
|
entity |
| Predicate | militaryOccupationSpecialty |
P9463
|
FINISHED |
| Object | pararescue (PJ) |
—
|
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: pararescue (PJ) | Statement: [William H. Pitsenbarger, militaryOccupationSpecialty, pararescue (PJ)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: militaryOccupationSpecialty Context triple: [William H. Pitsenbarger, militaryOccupationSpecialty, pararescue (PJ)]
-
A.
hasMilitarySpeciality
Indicates that an entity possesses a specific military role, skill set, or area of professional expertise within the armed forces.
-
B.
militaryRole
chosen
Indicates the specific function, position, or duty an entity holds within a military organization or context.
-
C.
hasMilitaryDesignation
Indicates that an entity is assigned a specific military-related code, title, or classification.
-
D.
isMilitaryOffice
Indicates that an entity holds or is designated as a military office or official position within an armed forces structure.
-
E.
isMilitaryOrderGrade
Indicates that one entity is classified as a specific grade or level within a military order or honor system in relation to another entity.
- 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_69f76e6c63e48190b1d0c3a79a6c7406 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd231cab588190ad0953dc8f4af8f2 |
completed | May 7, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69fd1aa3f1c481909fe6e9cab1383551 |
completed | May 7, 2026, 11:05 p.m. |
Created at: May 3, 2026, 4:11 p.m.