Triple
T15315694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saving Grace |
E366150
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Jamie Foreman |
E285874
|
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: Jamie Foreman | Statement: [Saving Grace, starring, Jamie Foreman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jamie Foreman Context triple: [Saving Grace, starring, Jamie Foreman]
-
A.
Jamie Foreman
chosen
Jamie Foreman is a British character actor known for his tough-guy roles in film and television, including notable appearances in crime dramas.
-
B.
Tim Foreman
Tim Foreman is an American bassist and songwriter best known as a founding member of the alternative rock band Switchfoot.
-
C.
Tom Foreman
Tom Foreman is an American journalist and television correspondent best known for his long-running reporting and anchoring work with CNN.
-
D.
Chris Foreman
Chris Foreman is the guitarist for the British ska band Madness, known for his role in shaping the group's distinctive sound.
-
E.
James Foreman
James Foreman is the husband of American actress Caroline Aaron, known for her work in film, television, and theater.
- 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03dd1d384819098f38402a8740d91 |
completed | April 16, 2026, 1:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef8a688a48190848eb7f065aba146 |
completed | May 9, 2026, 9:04 a.m. |
Created at: April 10, 2026, 3:16 a.m.