Triple
T6565888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RED Music |
E153904
|
entity |
| Predicate | successor |
P78
|
FINISHED |
| Object | The Orchard |
E153903
|
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: The Orchard | Statement: [RED Music, successor, The Orchard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Orchard Context triple: [RED Music, successor, The Orchard]
-
A.
The Orchard
The Orchard is a term often used to refer to a cultivated area of fruit trees, symbolizing growth, abundance, and natural beauty.
-
B.
The Orchard
The Orchard is a celebrated didactic poem by the Persian poet Saadi, blending moral anecdotes, spiritual reflections, and social commentary in elegant verse.
-
C.
The Orchard
chosen
The Orchard is a music and entertainment distribution company specializing in digital and independent label services worldwide.
-
D.
The Orchard
The Orchard is a Post-Impressionist painting by Dutch artist Jacob Meyer de Haan, reflecting his close association with Paul Gauguin and the Pont-Aven school in late 19th-century France.
-
E.
The Garden
The Garden is the famous nickname for Madison Square Garden, the iconic multi-purpose indoor arena in New York City known for major sports, concerts, and entertainment events.
- 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_69c6880cb35881909b763eb0125236b9 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae3cc05881908e943d3f7f8a2b1d |
completed | March 27, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d564cb908190bb8885e6c8d8abac |
completed | March 27, 2026, 7:07 p.m. |
Created at: March 27, 2026, 1:52 p.m.