Triple
T18318956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlie Appleby |
E438819
|
entity |
| Predicate | trained |
P3665
|
FINISHED |
| Object | Blue Point |
—
|
NE NERFINISHED |
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: Blue Point | Statement: [Charlie Appleby, trained, Blue Point]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blue Point Context triple: [Charlie Appleby, trained, Blue Point]
-
A.
Blue Point
chosen
Blue Point is a top-class Godolphin-owned Thoroughbred racehorse best known as a multiple Group 1-winning sprinter, including victories at Royal Ascot.
-
B.
Blue Point, New York
Blue Point, New York is a small hamlet on the south shore of Long Island known for its waterfront location on the Great South Bay and historic shellfish industry.
-
C.
Bowery Bay
Bowery Bay is a small inlet of the East River in Queens, New York City, located near LaGuardia Airport and used historically for industrial and maritime purposes.
-
D.
Green Point
Green Point is a coastal suburb of Cape Town, South Africa, known for its urban park, stadium, and proximity to the Atlantic Seaboard.
-
E.
Green Point
Green Point is a coastal suburb on the Central Coast of New South Wales, Australia, known for its residential areas and proximity to waterways and natural reserves.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50aa342a881909afcd995405027af |
completed | April 19, 2026, 5:02 p.m. |
Created at: April 10, 2026, 10:36 a.m.