Triple
T11022733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeannie Seely |
E260530
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Seely |
E712848
|
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: Seely | Statement: [Jeannie Seely, familyName, Seely]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seely Context triple: [Jeannie Seely, familyName, Seely]
-
A.
Seely
chosen
Seely is an unincorporated rural community located in Guthrie County, Iowa.
-
B.
Laird
Laird is a given name of Scottish origin traditionally used as a masculine middle or first name, associated with landownership and nobility.
-
C.
Heeley
Heeley is a district in the city of Sheffield, South Yorkshire, England, known for its residential areas, local amenities, and proximity to green spaces.
-
D.
Norris
Norris is a surname most notably associated with influential American politician George W. Norris, a progressive-era U.S. senator from Nebraska.
-
E.
Yates
Yates is a surname of English origin borne by various notable individuals across literature, politics, sports, and other fields.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797bd88188190a644adc9283cabb8 |
completed | April 9, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3750917d481909e73de0bfae27827 |
completed | April 18, 2026, 12:11 p.m. |
Created at: April 8, 2026, 9:25 p.m.