Triple
T12709189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jodey Arrington |
E303669
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Jodey |
E303669
|
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: Jodey | Statement: [Jodey Arrington, givenName, Jodey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jodey Context triple: [Jodey Arrington, givenName, Jodey]
-
A.
Jodey Arrington
chosen
Jodey Arrington is a Republican U.S. Representative from Texas known for his conservative positions on fiscal policy, agriculture, and border security.
-
B.
Tim Houston
Tim Houston is a Canadian politician who serves as the 30th premier of Nova Scotia and leader of the Progressive Conservative Party of Nova Scotia.
-
C.
Randall Woodfin
Randall Woodfin is an American politician and attorney who serves as the progressive, reform-focused mayor of Birmingham, Alabama.
-
D.
Zacch Pickens
Zacch Pickens is an American football defensive tackle who played college football at South Carolina and was drafted into the NFL.
-
E.
Dillon Hunt
Dillon Hunt is a New Zealand rugby union flanker who has played professionally in domestic and Super Rugby competitions.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96207b2d881908314efc3e350aa78 |
completed | April 10, 2026, 8:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671b648f48190a29924c484713fc7 |
completed | May 2, 2026, 9:50 p.m. |
Created at: April 9, 2026, 5:23 p.m.