Triple
T15939236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forever |
E386515
|
entity |
| Predicate | hasLyricist |
P1141
|
FINISHED |
| Object | Matthew Samuels |
E387474
|
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: Matthew Samuels | Statement: [Forever, hasLyricist, Matthew Samuels]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matthew Samuels Context triple: [Forever, hasLyricist, Matthew Samuels]
-
A.
Matthew Jehu Samuels
chosen
Matthew Jehu Samuels, better known as Boi-1da, is a Grammy-winning Canadian record producer renowned for his work with artists like Drake, Eminem, and Rihanna.
-
B.
Ron Samuels
Ron Samuels is a film producer best known for his work on the 1986 action movie "Iron Eagle."
-
C.
Jonathan Sanger
Jonathan Sanger is an American film producer and director best known for his work on acclaimed films such as "The Elephant Man."
-
D.
Matthew Aldrich
Matthew Aldrich is an American screenwriter best known for co-writing Pixar’s Academy Award–winning animated film "Coco."
-
E.
Aaron Samuels
Aaron Samuels is the popular high school heartthrob and love interest of Cady Heron and Regina George in the teen comedy film "Mean Girls."
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156ad9988819089ad7822e0f46177 |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb82a29081909ef0e2685d0705c3 |
completed | May 10, 2026, 2:20 a.m. |
Created at: April 10, 2026, 4:53 a.m.