Triple
T20286878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oliver Milburn |
E509903
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Royal |
—
|
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: The Royal | Statement: [Oliver Milburn, notableWork, The Royal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Royal Context triple: [Oliver Milburn, notableWork, The Royal]
-
A.
The Royal
chosen
The Royal is a British television drama series set in a 1960s seaside hospital, known as a spin-off from the long-running show Heartbeat.
-
B.
The Royal
The Royal is a major annual agricultural and equestrian fair held in Toronto, showcasing livestock, horse shows, food, and rural traditions.
-
C.
The Royal
The Royal is a tram stop on the West Midlands Metro light rail system serving the local area in the West Midlands, England.
-
D.
The Sovereign
The Sovereign is a divine title emphasizing God's ultimate and unrivaled authority over all creation.
-
E.
The Royale
The Royale is a theatrical work best known as a significant stage credit in the career of actor and performer Kevin Cahoon.
- 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_69e0b4c652388190b782cad965e5a098 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e676931fe08190b278d829a745701f |
completed | April 20, 2026, 6:55 p.m. |
Created at: April 16, 2026, 11:07 a.m.