Triple
T34242552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Senate election in Arizona, 2010 |
E878504
|
entity |
| Predicate | majorCandidate |
P1221
|
FINISHED |
| Object |
Jim Deakin
Jim Deakin is an American politician and businessman who ran as a Republican candidate in the 2010 United States Senate election in Arizona.
|
E2087402
|
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: Jim Deakin | Statement: [United States Senate election in Arizona, 2010, majorCandidate, Jim Deakin]
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: Jim Deakin Triple: [United States Senate election in Arizona, 2010, majorCandidate, Jim Deakin]
Generated description
Jim Deakin is an American politician and businessman who ran as a Republican candidate in the 2010 United States Senate election in Arizona.
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_69f349b22d8c819096b22df268382aa9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7127f15948190b2283a68aa8181b9 |
completed | May 3, 2026, 9:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a36d5ed9ffc8190b0ffd99890153bba |
completed | June 20, 2026, 6:03 p.m. |
| NEDg | Description generation | batch_6a36d6d3b04c8190819ff0e1f74f6fbf |
completed | June 20, 2026, 6:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a36d762832481909d8ca24e737396af |
completed | June 20, 2026, 6:09 p.m. |
Created at: May 1, 2026, 1:56 a.m.