Triple
T12944193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mrs. Sen's |
E309718
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Mrs. Sen |
E309718
|
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: Mrs. Sen | Statement: [Mrs. Sen's, mainCharacter, Mrs. Sen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mrs. Sen Context triple: [Mrs. Sen's, mainCharacter, Mrs. Sen]
-
A.
Mrs. Sen's
chosen
"Mrs. Sen's" is a short story by Jhumpa Lahiri that explores themes of immigration, isolation, and cultural displacement through the relationship between an Indian woman and the young American boy she babysits.
-
B.
Mrs. Rita
"Mrs. Rita" is a song by the American rock band Gin Blossoms, known for its jangly guitar sound and introspective alternative rock style characteristic of their early 1990s work.
-
C.
Mrs. Kirsha
Mrs. Kirsha is the wife of Kirsha, a character in R. K. Narayan’s fictional South Indian town of Malgudi, often depicted as a practical and long-suffering partner.
-
D.
Mrs. Sands
Mrs. Sands is a fictional character appearing in the play "The Room" by Harold Pinter.
-
E.
Mrs. G
Mrs. G is a fictional character from the story "The Tale," serving as a key figure whose actions and personality help drive the narrative.
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e1a28688190ab9fd1307bc76b4a |
completed | April 10, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af73e6348190be114e8c5ad181bf |
completed | May 3, 2026, 2:14 a.m. |
Created at: April 9, 2026, 5:43 p.m.