Triple
T10487495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M80 |
E247333
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Denny |
E113115
|
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: Denny | Statement: [M80, passesNear, Denny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Denny Context triple: [M80, passesNear, Denny]
-
A.
Denny
chosen
Denny is a small town in central Scotland, located in the Falkirk council area.
-
B.
Denny
Denny is the surname of Reginald Denny, an English-born actor and World War I aviator who became a notable Hollywood film and television performer.
-
C.
Dennis
Dennis is a coastal town on Cape Cod in Massachusetts known for its beaches, historic charm, and popular summer tourism.
-
D.
Dennis
Dennis is a masculine given name of Greek origin, commonly used in English-speaking countries.
-
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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5096a4d3481908e9c319f6cdce4f1 |
completed | April 7, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dc8c73748190b97c78af6cf142d9 |
completed | April 10, 2026, 11:18 a.m. |
Created at: April 6, 2026, 12:23 p.m.