Triple
T23487688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ken Foree |
E570580
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ken Foree |
—
|
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: Ken Foree | Statement: [Ken Foree, name, Ken Foree]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ken Foree Context triple: [Ken Foree, name, Ken Foree]
-
A.
Ken Foree
chosen
Ken Foree is an American character actor best known for his leading role in George A. Romero’s horror classic "Dawn of the Dead" and numerous other genre films and television appearances.
-
B.
Dan Forester
Dan Forester is a former soldier turned high school teacher who is drafted into a future war against alien invaders in the science fiction film "The Tomorrow War."
-
C.
Chris Foreman
Chris Foreman is the guitarist for the British ska band Madness, known for his role in shaping the group's distinctive sound.
-
D.
Ken Foreman
Ken Foreman is best known as the husband of Mandy Rice-Davies, a prominent figure in the 1960s Profumo affair scandal in the United Kingdom.
-
E.
Jamie Foreman
Jamie Foreman is a British character actor known for his tough-guy roles in film and television, including notable appearances in crime dramas.
- 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_69e245b0b01481908f636939bedd804c |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a7d9cc08819084c532b069f867ee |
completed | April 29, 2026, 6:40 a.m. |
Created at: April 17, 2026, 6:04 p.m.