Triple
T8977772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susie Swanson |
E214437
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Bonnie Swanson |
E55191
|
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: Bonnie Swanson | Statement: [Susie Swanson, mother, Bonnie Swanson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bonnie Swanson Context triple: [Susie Swanson, mother, Bonnie Swanson]
-
A.
Bonnie Swanson
chosen
Bonnie Swanson is a recurring character on the animated sitcom Family Guy, known as Joe Swanson’s soft-spoken, long-pregnant wife and neighbor of the Griffin family.
-
B.
Jayne Meadows
Jayne Meadows was an American actress and television personality known for her work in film, stage, and early television, as well as for her frequent game show appearances.
-
C.
Betty Reynolds
Betty Reynolds is the daughter of Canadian actor Ryan Reynolds and American actress Blake Lively.
-
D.
Betty Roberts
Betty Roberts is the ambitious and resourceful young scriptwriter and de facto producer at a 1940s Pittsburgh radio station in the television series "Remember WENN."
-
E.
Arlene Francis
Arlene Francis was an American actress, radio and television talk show host, and longtime panelist on the game show "What's My Line?"
- 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_69ca839ea8b88190922c6a326ffcc0d3 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc67a33c8481909125acf4b7f0a919 |
completed | April 1, 2026, 12:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e3017a7c8190a7182acc7831d09b |
completed | April 4, 2026, 10:08 a.m. |
Created at: March 30, 2026, 7:02 p.m.