Triple
T9109473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elise Stefanik |
E218559
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Stefanik |
E218559
|
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: Stefanik | Statement: [Elise Stefanik, familyName, Stefanik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stefanik Context triple: [Elise Stefanik, familyName, Stefanik]
-
A.
Elise Stefanik
chosen
Elise Stefanik is a Republican politician serving in the U.S. House of Representatives and a prominent member of her party’s leadership.
-
B.
Max Rose
Max Rose is an American politician and Army veteran who represented New York’s 11th congressional district in the U.S. House of Representatives as a Democrat.
-
C.
Christian Chabot
Christian Chabot is an American entrepreneur best known as the co-founder and former CEO of the data visualization software company Tableau.
-
D.
Jonathan Gillibrand
Jonathan Gillibrand is a British-born venture capitalist and the husband of U.S. Senator Kirsten Gillibrand.
-
E.
Arlen
Arlen is a given name most notably borne by Arlen Specter, a long-serving United States Senator from Pennsylvania.
- 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_69ca83db7448819090d0a5de842ef2ac |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca845d9b0819084230e7cdd92dee0 |
completed | April 1, 2026, 5:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d03038dba48190991cb76576349bc3 |
completed | April 3, 2026, 9:25 p.m. |
Created at: March 30, 2026, 7:16 p.m.