Triple
T36636860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William H. Pitsenbarger scholarship and awards program |
E904486
|
entity |
| Predicate | operatedBy |
P86
|
FINISHED |
| Object |
Air Force Association Education Programs
Air Force Association Education Programs is an initiative of the Air & Space Forces Association that provides scholarships, grants, and educational resources to support the academic and professional development of Air Force and Space Force members, their families, and aerospace education.
|
E2192832
|
NE 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: Air Force Association Education Programs | Statement: [William H. Pitsenbarger scholarship and awards program, operatedBy, Air Force Association Education Programs]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Air Force Association Education Programs Triple: [William H. Pitsenbarger scholarship and awards program, operatedBy, Air Force Association Education Programs]
Generated description
Air Force Association Education Programs is an initiative of the Air & Space Forces Association that provides scholarships, grants, and educational resources to support the academic and professional development of Air Force and Space Force members, their families, and aerospace education.
Provenance (5 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_69f7c4d82a2c81908f5c02da3eb90fad |
completed | May 3, 2026, 9:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3a096fd3488190bd898e738212c489 |
completed | June 23, 2026, 4:20 a.m. |
| NEDg | Description generation | batch_6a3a0c9c43188190bdc395335ad6933b |
completed | June 23, 2026, 4:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3a0da3f288819095f80e9bf7279312 |
completed | June 23, 2026, 4:37 a.m. |
Created at: May 3, 2026, 4:11 p.m.