Triple
T7342682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The King & I |
E169294
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object | Jamal Woolard |
E558823
|
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: Jamal Woolard | Statement: [The King & I, featuresArtist, Jamal Woolard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jamal Woolard Context triple: [The King & I, featuresArtist, Jamal Woolard]
-
A.
Jamal Woolard
chosen
Jamal Woolard is an American rapper and actor best known for portraying The Notorious B.I.G. in the biographical film "Notorious."
-
B.
Luther Hicks
Luther Hicks is an individual notable enough to be recognized as a distinct namesake of the surname Hicks.
-
C.
John Milledge
John Milledge was an American politician and statesman who served as governor of Georgia and a U.S. congressman in the early 19th century.
-
D.
Ralph Johnson
Ralph Johnson is a computer scientist and influential software engineer best known as one of the "Gang of Four" authors who popularized design patterns in object-oriented programming.
-
E.
Harry Rountree
Harry Rountree was a New Zealand-born British illustrator renowned for his vivid and detailed work in early 20th-century books and magazines, particularly in sporting and children’s literature.
- 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_69c68a57710481909f0c1f3c6ebdb6f2 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f0db2db8819088c4bed5d65571f6 |
completed | March 27, 2026, 9:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802b032308190875b82c3ad169829 |
completed | March 28, 2026, 4:32 p.m. |
Created at: March 27, 2026, 3:04 p.m.