Triple
T3998569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Sawyer universe |
E87156
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Muff Potter |
E62966
|
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: Muff Potter | Statement: [Tom Sawyer universe, featuresCharacter, Muff Potter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muff Potter Context triple: [Tom Sawyer universe, featuresCharacter, Muff Potter]
-
A.
Muff Potter
chosen
Muff Potter is a hapless, kind-hearted but often drunk vagrant and accused murderer in Mark Twain’s novel "The Adventures of Tom Sawyer."
-
B.
Louis de Potter
Louis de Potter was a Belgian liberal journalist and politician who played a leading role in the movement that sparked the Belgian Revolution and the country’s independence in 1830.
-
C.
Puckman
Puckman is the ice hockey–themed mascot representing Rensselaer Polytechnic Institute’s athletic teams.
-
D.
Mr. Plod
Mr. Plod is the bumbling village policeman character from Enid Blyton’s Noddy stories, known for trying to keep order in Toyland.
-
E.
The Mister
The Mister is a contemporary romance novel by E. L. James, known for its Cinderella-style love story and for being her follow-up to the Fifty Shades series.
- 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_69aed94118148190975e6aa4e554cde9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa4065ac8190a898a1025365b8e9 |
completed | March 9, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c57f60c819080e237b4b056d73b |
completed | March 14, 2026, 11:54 a.m. |
Created at: March 9, 2026, 3:34 p.m.