Triple
T17851795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lisa McDowell |
E445823
|
entity |
| Predicate | loveInterestOf |
P7325
|
FINISHED |
| Object | Prince Akeem Joffer |
—
|
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: Prince Akeem Joffer | Statement: [Lisa McDowell, loveInterestOf, Prince Akeem Joffer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prince Akeem Joffer Context triple: [Lisa McDowell, loveInterestOf, Prince Akeem Joffer]
-
A.
Prince Akeem Joffer
chosen
Prince Akeem Joffer is the idealistic and charming crown prince of the fictional African nation of Zamunda in the comedy film "Coming to America."
-
B.
Prince Rakeem
Prince Rakeem is an early stage name of RZA, the influential producer, rapper, and de facto leader of the Wu-Tang Clan.
-
C.
Akil King
Akil King is a songwriter best known for contributing to the track "All Night."
-
D.
Prince DaJour
Prince DaJour is a television personality and host best known for presenting the influential BET hip-hop video show "Rap City" in the 1990s.
-
E.
Prince Lavelle Junson
Prince Lavelle Junson is a prominent royal figure associated with the influential House of Joffer.
- 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48fff6c288190a2b5e60b66c03ddc |
completed | April 19, 2026, 8:19 a.m. |
Created at: April 10, 2026, 10:17 a.m.