Triple
T6269949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King of Stage |
E140504
|
entity |
| Predicate | artist |
P184
|
FINISHED |
| Object | Dana Dane |
E579758
|
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: Dana Dane | Statement: [King of Stage, artist, Dana Dane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dana Dane Context triple: [King of Stage, artist, Dana Dane]
-
A.
Dana Dane
chosen
Dana Dane is an American rapper and storyteller known for his humorous narrative style and influential 1980s hip-hop tracks like "Cinderfella Dana Dane."
-
B.
Dinah Drake
Dinah Drake is a Golden Age DC Comics superhero best known as the original Black Canary and a founding-era member of the Justice Society of America.
-
C.
Dana York
Dana York is an American woman best known as the widow of rock musician Tom Petty, whom she married in 2001 and remained with until his death.
-
D.
Danielle
"Danielle" is a work created by Sarah Churchill, known as part of her contributions to the arts.
-
E.
Danielle
Danielle is the young prodigy and central superheroine of the novel "Chronicles of a Superheroine," known for using her intelligence and creativity to tackle global challenges.
- 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_69c008cabc4081909723e2547c9d6cc0 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063a3f1d081908ccff88db94b1f9c |
completed | March 22, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62d1f28748190a62fc26f92f0c15f |
completed | March 27, 2026, 7:09 a.m. |
Created at: March 22, 2026, 4:25 p.m.