Triple
T21812120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George MacDonald Fraser |
E538500
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Royal Flash |
—
|
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: Royal Flash | Statement: [George MacDonald Fraser, notableWork, Royal Flash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Royal Flash Context triple: [George MacDonald Fraser, notableWork, Royal Flash]
-
A.
Royal Flash
chosen
Royal Flash is a 1975 British swashbuckling comedy film, based on George MacDonald Fraser’s Flashman novel, that parodies adventure and historical epics.
-
B.
Royale
Royale is a higher-end luxury trim level of the Oldsmobile Delta 88 full-size sedan, featuring upgraded comfort and styling options.
-
C.
The Royal
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.
-
D.
The Royal
The Royal is a major annual agricultural and equestrian fair held in Toronto, showcasing livestock, horse shows, food, and rural traditions.
-
E.
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.
- 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_69e0c473f0f8819086c9d1b4a143bd67 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f07cc6cdf88190a31129acdc3bcec8 |
completed | April 28, 2026, 9:24 a.m. |
Created at: April 16, 2026, 6:53 p.m.