Triple
T1296896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gary Bettman |
E27672
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Shelli Bettman |
E27672
|
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: Shelli Bettman | Statement: [Gary Bettman, spouse, Shelli Bettman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shelli Bettman Context triple: [Gary Bettman, spouse, Shelli Bettman]
-
A.
Shelli Bettman
chosen
Shelli Bettman is the wife of longtime National Hockey League commissioner Gary Bettman.
-
B.
Sue Selig
Sue Selig is the wife of former Major League Baseball commissioner Bud Selig and is known for her involvement in charitable and community activities.
-
C.
Ann Mara
Ann Mara was an American businesswoman and co-owner of the New York Giants, widely known as the matriarch of the Mara family that has long controlled the NFL franchise.
-
D.
Meg Altman
Meg Altman is the resourceful mother and central protagonist of the thriller film "Panic Room," portrayed by Jodie Foster.
-
E.
Joanne Schieble
Joanne Schieble is an American woman best known as the biological mother of Apple co-founder Steve Jobs.
- 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_69a496d6682881909ba658f1c1e0e2b0 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c0f591ec819084f01f518c332880 |
completed | March 1, 2026, 10:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acacc4078081908ba799745ce442ae |
completed | March 7, 2026, 10:55 p.m. |
Created at: March 1, 2026, 7:51 p.m.