Triple
T8037415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tanya Snyder |
E187141
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Daniel Snyder |
E9932
|
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: Daniel Snyder | Statement: [Tanya Snyder, spouse, Daniel Snyder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Snyder Context triple: [Tanya Snyder, spouse, Daniel Snyder]
-
A.
Robert Kraft
Robert Kraft is an American billionaire businessman and philanthropist best known as the longtime owner of the NFL’s New England Patriots.
-
B.
Dan Snyder
chosen
Dan Snyder is an American businessman best known for his controversial tenure as the longtime owner of Washington’s NFL franchise, marked by on-field struggles and numerous organizational scandals.
-
C.
Art Modell
Art Modell was an American businessman and NFL team owner best known for relocating the Cleveland Browns to become the Baltimore Ravens.
-
D.
Jim Irsay
Jim Irsay is an American businessman and sports executive best known as the longtime owner and CEO of the NFL’s Indianapolis Colts.
-
E.
Steve Bisciotti
Steve Bisciotti is an American businessman and billionaire best known as the principal owner of the NFL’s Baltimore Ravens.
- 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_69ca82ae2d1081909dbfee42b41db419 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3f188e1c8190b92760c91d31f2df |
completed | March 31, 2026, 3:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc56fa97ac8190a0bd646d9ec345e4 |
completed | March 31, 2026, 11:21 p.m. |
Created at: March 30, 2026, 5:23 p.m.