Triple
T16324040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patty Bouvier |
E396368
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Selma Bouvier |
E396369
|
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: Selma Bouvier | Statement: [Patty Bouvier, sibling, Selma Bouvier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Selma Bouvier Context triple: [Patty Bouvier, sibling, Selma Bouvier]
-
A.
Selma Bouvier
chosen
Selma Bouvier is a chain-smoking, raspy-voiced DMV clerk and Marge Simpson’s cynical sister on the animated television series "The Simpsons."
-
B.
Lise Bouvier
Lise Bouvier is the young French woman who becomes the romantic focus of the story in the classic musical film "An American in Paris."
-
C.
Laura Chase
Laura Chase is a central, enigmatic figure in Margaret Atwood’s novel "The Blind Assassin," whose life and mysterious death profoundly shape the story’s layered narrative.
-
D.
Assumpta Fitzgerald
Assumpta Fitzgerald is a sharp-witted, independent pub owner in the Irish village of Ballykissangel and a central figure in the British television drama of the same name.
-
E.
Rose Loomis
Rose Loomis is the seductive and scheming wife portrayed by Marilyn Monroe in the 1953 film noir "Niagara."
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296b8fe988190adee72b23246052f |
completed | April 17, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00260ab4208190900f21cb4f08f926 |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:06 a.m.