Triple
T16474543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mrs. Shaw |
E400153
|
entity |
| Predicate | hasSpouse |
P13
|
FINISHED |
| Object | Mr. Shaw |
E400152
|
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: Mr. Shaw | Statement: [Mrs. Shaw, hasSpouse, Mr. Shaw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Shaw Context triple: [Mrs. Shaw, hasSpouse, Mr. Shaw]
-
A.
Mr. Shaw
chosen
Mr. Shaw is a wealthy, conservative Boston businessman who serves as the head of the household and a symbol of traditional values in Louisa May Alcott’s novel "An Old-Fashioned Girl."
-
B.
Mr. Wilson
Mr. Wilson is the grumpy, long-suffering neighbor and frequent victim of Dennis’s mischief in the 1993 family comedy film "Dennis the Menace."
-
C.
Mr. Hawkins
Mr. Hawkins is the father of Jim Hawkins, the young protagonist of Robert Louis Stevenson’s classic adventure novel "Treasure Island."
-
D.
Mr. Fletcher
Mr. Fletcher is the video store owner in the comedy film "Be Kind Rewind," around whose struggling VHS rental shop the movie’s events and homemade remakes revolve.
-
E.
Vernon Shaw
Vernon Shaw was a Dominican politician who served as the fifth President of the Commonwealth of Dominica from 1998 to 2003.
- 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_69d883813098819084f5409539723b59 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32dd32e048190a9eadd32d6b9374c |
completed | April 18, 2026, 7:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00581c24508190b4888357828fed80 |
completed | May 10, 2026, 10:04 a.m. |
Created at: April 10, 2026, 5:13 a.m.