Triple
T9110463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Renaissance Man |
E218586
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Khalil Kain |
E582618
|
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: Khalil Kain | Statement: [Renaissance Man, starring, Khalil Kain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khalil Kain Context triple: [Renaissance Man, starring, Khalil Kain]
-
A.
Khalil Kain
chosen
Khalil Kain is an American actor best known for his roles in films like "Juice" and "Love Jones" and for playing Darnell Wilkes on the television series "Girlfriends."
-
B.
Jelani Alladin
Jelani Alladin is an American actor known for his work in television, film, and theater, including prominent roles in genre and dramatic productions.
-
C.
Khalil-Bey
Khalil-Bey was a 19th-century Ottoman diplomat and art collector best known for owning several provocative works, including Gustave Courbet’s erotic painting "The Origin of the World."
-
D.
Najee Smith
Najee Smith is one of the children of American rapper and actor LL Cool J.
-
E.
Muhammad Wilkerson
Muhammad Wilkerson is an American former NFL defensive end best known for his Pro Bowl tenure with the New York Jets after a standout college career at Temple University.
- 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_69ca83dc94ac8190b9ef42684d36ff39 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca847102881908f9d86ce9883fb1a |
completed | April 1, 2026, 5:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d030467b188190a6d99bf2fc65207d |
completed | April 3, 2026, 9:25 p.m. |
Created at: March 30, 2026, 7:16 p.m.