Triple
T11666423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mame Dennis |
E277261
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Dennis |
E392425
|
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: Dennis | Statement: [Mame Dennis, familyName, Dennis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dennis Context triple: [Mame Dennis, familyName, Dennis]
-
A.
Dennis
Dennis is a coastal town on Cape Cod in Massachusetts known for its beaches, historic charm, and popular summer tourism.
-
B.
Dennis
chosen
Dennis is a masculine given name of Greek origin, commonly used in English-speaking countries.
-
C.
Dennis
Dennis is a character from Stephen King’s fantasy novel "The Eyes of the Dragon," known for his loyalty and involvement in the royal court’s intrigue.
-
D.
Dennis
Dennis is a central teenage gang member in the British sci-fi action film "Attack the Block," known for battling alien invaders in a South London housing estate.
-
E.
Dennis
Dennis is the name of a notably destructive Atlantic hurricane whose impact led to its retirement from future storm name lists.
- 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a43f438081909da476294a057c38 |
completed | April 10, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef13a2f1dc8190bb9ca8879ef42e14 |
completed | April 27, 2026, 7:43 a.m. |
Created at: April 8, 2026, 9:39 p.m.