Triple
T6642867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady Constance Keeble |
E150628
|
entity |
| Predicate | appearsInWork |
P795
|
FINISHED |
| Object | Heavy Weather |
E145673
|
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: Heavy Weather | Statement: [Lady Constance Keeble, appearsInWork, Heavy Weather]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heavy Weather Context triple: [Lady Constance Keeble, appearsInWork, Heavy Weather]
-
A.
Heavy Weather
chosen
Heavy Weather is a comic novel by P. G. Wodehouse set at Blandings Castle, featuring Lord Emsworth, his prize pig the Empress of Blandings, and a tangle of romantic and criminal misadventures.
-
B.
Stormy
"Stormy" is a popular 1968 soft rock ballad, best known as a hit single by the Atlanta Rhythm Section co-written and produced by Buddy Buie.
-
C.
Strange Weather
Strange Weather is a collection of four horror and dark fantasy novellas by Joe Hill that explore unsettling, supernatural twists on everyday life.
-
D.
Storm
Storm is an American hip hop group best known as part of the extended Outlawz collective associated with Tupac Shakur.
-
E.
Storm
Storm is a powerful Marvel Comics superhero and longtime member of the X-Men, known for her ability to control the weather.
- 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_69c687f1a3048190828b7342f7125d5c |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6aff749d48190bf24d448daf13bc7 |
completed | March 27, 2026, 4:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6eeef3f7481909929838858225f41 |
completed | March 27, 2026, 8:56 p.m. |
Created at: March 27, 2026, 2 p.m.