Triple
T32991283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Assistant Director for Mathematical and Physical Sciences at the U.S. National Science Foundation |
E844094
|
entity |
| Predicate | oversees |
P46
|
FINISHED |
| Object |
NSF Directorate for Mathematical and Physical Sciences
The NSF Directorate for Mathematical and Physical Sciences is a major division of the U.S. National Science Foundation that funds and supports research and education in fields such as mathematics, physics, astronomy, chemistry, and materials science.
|
E2033182
|
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: NSF Directorate for Mathematical and Physical Sciences | Statement: [Assistant Director for Mathematical and Physical Sciences at the U.S. National Science Foundation, oversees, NSF Directorate for Mathematical and Physical Sciences]
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: NSF Directorate for Mathematical and Physical Sciences Triple: [Assistant Director for Mathematical and Physical Sciences at the U.S. National Science Foundation, oversees, NSF Directorate for Mathematical and Physical Sciences]
Generated description
The NSF Directorate for Mathematical and Physical Sciences is a major division of the U.S. National Science Foundation that funds and supports research and education in fields such as mathematics, physics, astronomy, chemistry, and materials science.
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_69f3494d99988190b502c68926af2c4d |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d213a4148190862c180ce546494a |
completed | May 3, 2026, 4:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a34dac4b1dc8190979a2442f245201c |
completed | June 19, 2026, 5:59 a.m. |
| NEDg | Description generation | batch_6a34def3c4088190a0bf868976d5fb66 |
completed | June 19, 2026, 6:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a34df7251908190b0065d2c7b9c12f5 |
completed | June 19, 2026, 6:19 a.m. |
Created at: May 1, 2026, 1:22 a.m.