Triple
T7049722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sean Hepburn Ferrer |
E163733
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Lucerne |
E31684
|
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: Lucerne | Statement: [Sean Hepburn Ferrer, placeOfBirth, Lucerne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lucerne Context triple: [Sean Hepburn Ferrer, placeOfBirth, Lucerne]
-
A.
Lucerne
chosen
Lucerne is a picturesque Swiss city known for its preserved medieval architecture, lakeside setting on Lake Lucerne, and proximity to the Swiss Alps.
-
B.
Parsley Hay
Parsley Hay is a small hamlet and popular cycling and walking hub in the Peak District National Park, known for its trailhead facilities on former railway routes.
-
C.
Caltha
Caltha is a small genus of marsh-dwelling flowering plants commonly known as marsh marigolds, found in temperate and cold regions of the Northern Hemisphere.
-
D.
Alsike
Alsike is a small locality in Uppsala County, Sweden, known as a growing residential community within Knivsta Municipality.
-
E.
Parugu
Parugu is a 2008 Telugu-language romantic drama film starring Allu Arjun, known for its emotional storyline and popular music.
- 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_69c6885f598c8190b6b6495c59d8d962 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e24d5e8c8190b37e56107e6da8ab |
completed | March 27, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802a126e081908ca3074b636764d1 |
completed | March 28, 2026, 4:32 p.m. |
Created at: March 27, 2026, 2:37 p.m.