Triple
T6376940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Exodus |
E143489
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Mr. Porter |
E68660
|
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: Mr. Porter | Statement: [Exodus, producer, Mr. Porter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Porter Context triple: [Exodus, producer, Mr. Porter]
-
A.
Mr. Porter
chosen
Mr. Porter is an American hip-hop producer and rapper best known as a longtime member of D12 and frequent collaborator of Eminem.
-
B.
Mr. Fletcher
Mr. Fletcher is the video store owner in the comedy film "Be Kind Rewind," around whose struggling VHS rental shop the movie’s events and homemade remakes revolve.
-
C.
Mr. Jordan
Mr. Jordan is the suave, otherworldly celestial messenger character famously played by Claude Rains in the classic film "Here Comes Mr. Jordan."
-
D.
Mr. Tappitt
Mr. Tappitt is a fictional character in Anthony Trollope’s novel "Rachel Ray," serving as one of the townspeople involved in the social and romantic intrigues of the story.
-
E.
Mr. McFeely
Mr. McFeely is the speedy, friendly delivery man on the children's television show "Mister Rogers' Neighborhood," known for his catchphrase "Speedy Delivery!"
- 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_69c008d9f4348190ab598a2913259a1c |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0683d7af881908d66d5230e1bfcb6 |
completed | March 22, 2026, 10:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62da390c081908690ec716aed8fea |
completed | March 27, 2026, 7:11 a.m. |
Created at: March 22, 2026, 4:33 p.m.