Triple
T26572031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State of Alabama ex rel. John Patterson, Attorney General |
E666851
|
entity |
| Predicate | associatedWithOffice |
P1268
|
FINISHED |
| Object |
Alabama Attorney General’s Office
The Alabama Attorney General’s Office is the state agency responsible for representing Alabama in legal matters, enforcing state law, and providing legal counsel to state government officials and agencies.
|
E1733077
|
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: Alabama Attorney General’s Office | Statement: [State of Alabama ex rel. John Patterson, Attorney General, associatedWithOffice, Alabama Attorney General’s Office]
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: Alabama Attorney General’s Office Triple: [State of Alabama ex rel. John Patterson, Attorney General, associatedWithOffice, Alabama Attorney General’s Office]
Generated description
The Alabama Attorney General’s Office is the state agency responsible for representing Alabama in legal matters, enforcing state law, and providing legal counsel to state government officials and agencies.
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_69ee9cfa21c081909e4e36e087debfc6 |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f614a519f0819087c98f8b48d14cce |
completed | May 2, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a11c82cb5ec8190b5016f40ebe81029 |
completed | May 23, 2026, 3:30 p.m. |
| NEDg | Description generation | batch_6a11c91aa6888190b17f656a39eefd1e |
completed | May 23, 2026, 3:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a11ca68b0488190851b0634a0c784bd |
completed | May 23, 2026, 3:40 p.m. |
Created at: April 27, 2026, 1:58 a.m.