Triple
T8294228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tina Kotek |
E194174
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Tina Kotek |
E194174
|
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: Tina Kotek | Statement: [Tina Kotek, name, Tina Kotek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tina Kotek Context triple: [Tina Kotek, name, Tina Kotek]
-
A.
Tina Kotek
chosen
Tina Kotek is an American politician and former state legislative leader who became the first openly lesbian governor in the United States.
-
B.
Connie Snyder
Connie Snyder is an American philanthropist and co-founder of the Ballmer Group, known for her work supporting children’s welfare, education, and social services.
-
C.
Sally Priebus
Sally Priebus is the wife of American attorney and political figure Reince Priebus, former White House Chief of Staff and Republican National Committee chairman.
-
D.
Christine Peterson
Christine Peterson is a futurist and technology activist best known for co-founding the Foresight Institute and promoting nanotechnology and responsible technological development.
-
E.
Christine Weiss
Christine Weiss is known as the wife of French politician Gérard Larcher, longtime President of the French Senate.
- 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_69ca82e50ebc81909aa7b260c76bd757 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7df5fff88190ac51a8d1c3eb2fe2 |
completed | March 31, 2026, 7:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1ce5a0c881909ee517678cdc4ef2 |
completed | April 2, 2026, 7:38 a.m. |
Created at: March 30, 2026, 5:52 p.m.