Triple
T21029410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kether |
E518025
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Crown |
—
|
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: Crown | Statement: [Kether, title, Crown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crown Context triple: [Kether, title, Crown]
-
A.
Crown
"Crown" is a reflective, gospel-infused hip-hop track by British rapper Stormzy that explores the pressures of fame, leadership, and personal responsibility.
-
B.
Crown
chosen
The Crown is the institution representing the British monarchy and the executive authority of the state, distinct from Parliament and the judiciary.
-
C.
Crown
Crown is a major American publishing imprint of Penguin Random House known for releasing high-profile nonfiction and bestselling works by prominent public figures.
-
D.
Crown
Crown is a prominent American business family name associated with influential industrialist and investor Lester Crown.
-
E.
Crown King
Crown King is a historic former gold-mining ghost town in Arizona’s Bradshaw Mountains, now known as a remote, rustic tourist destination.
- 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_69e0b503275c8190afd9a163f997c709 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc7fd3ec81908ac237047f9b0d7a |
completed | April 21, 2026, 4:26 a.m. |
Created at: April 16, 2026, 1:55 p.m.