Triple
T21854597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilson Barrett |
E539589
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Silver King |
—
|
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 Silver King | Statement: [Wilson Barrett, notableWork, The Silver King]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Silver King Context triple: [Wilson Barrett, notableWork, The Silver King]
-
A.
The Silver King
chosen
The Silver King is a notable stage and film drama in which British actor Malcolm Keen delivered one of his most recognized performances.
-
B.
The Golden King
The Golden King is a nickname for Gustavus Adolphus of Sweden, the early 17th-century Swedish monarch renowned for his military innovations and pivotal role in the Thirty Years' War.
-
C.
シルバーハット
シルバーハットは、建築家・伊東豊雄が手がけた、軽やかな屋根と開放的な空間構成で知られる初期の代表的住宅建築作品である。
-
D.
King in the Mountain
King in the Mountain is a legendary archetype of a dormant ruler who sleeps beneath a mountain, destined to return in his people's time of greatest need.
-
E.
Slew o’ Gold
Slew o’ Gold was a champion American Thoroughbred racehorse of the 1980s, best known for his success in major middle-distance races and as a prominent sire.
- 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_69e0c47829648190bbe2d1d7033768ec |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0bd5ba9288190af962117124f6483 |
completed | April 28, 2026, 1:59 p.m. |
Created at: April 16, 2026, 6:56 p.m.