Triple
T7643939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Just Can’t Wait to Be King |
E173074
|
entity |
| Predicate | performer |
P1363
|
FINISHED |
| Object | Jason Weaver |
E591607
|
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: Jason Weaver | Statement: [I Just Can’t Wait to Be King, performer, Jason Weaver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jason Weaver Context triple: [I Just Can’t Wait to Be King, performer, Jason Weaver]
-
A.
Jason Weaver
chosen
Jason Weaver is an American actor and singer best known for roles in projects like "The Lion King," "Smart Guy," and various film and television productions.
-
B.
Josh Heird
Josh Heird is a collegiate athletics administrator who serves as the athletic director overseeing the University of Louisville’s sports programs.
-
C.
Jared Witherspoon
Jared Witherspoon is an individual notable enough to be specifically cited as a bearer of the surname Witherspoon.
-
D.
Justin Deas
Justin Deas is an American actor best known for his multiple Daytime Emmy-winning roles on soap operas such as Guiding Light, As the World Turns, and Santa Barbara.
-
E.
Justin Wilkes
Justin Wilkes is a television producer and creator known for developing the series "Mars" and other documentary and scripted projects.
- 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_69c6995360188190968ee57b72a1627f |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6faf13858819095262664e1e04eb7 |
completed | March 27, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8ac8fdfe88190a535bf050eff5abb |
completed | March 29, 2026, 4:37 a.m. |
Created at: March 27, 2026, 3:58 p.m.