Triple
T22608148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matt Mason |
E566619
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Maxim Knight |
—
|
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: Maxim Knight | Statement: [Matt Mason, portrayedBy, Maxim Knight]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maxim Knight Context triple: [Matt Mason, portrayedBy, Maxim Knight]
-
A.
Maxim Knight
chosen
Maxim Knight is an American actor best known for his role as Matt Mason on the science fiction television series "Falling Skies."
-
B.
Ian Mercer
Ian Mercer is a British actor known for his work in film and television, including roles in productions such as "A Kind of Loving."
-
C.
Court Gentry
Court Gentry is a highly skilled, enigmatic former CIA operative turned freelance assassin who stars as the titular covert agent in Mark Greaney’s Gray Man thriller series.
-
D.
Morrow Wilson
Morrow Wilson is an American actor and writer best known as the longtime husband of Golden Girls star Rue McClanahan.
-
E.
Alex Ryker
Alex Ryker is a character from the Baywatch franchise who appears in the television film "Baywatch: Hawaiian Wedding."
- 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_69e245884860819081046ce07d5872c4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f167e86794819097e9c1ea83db52e6 |
completed | April 29, 2026, 2:07 a.m. |
Created at: April 17, 2026, 2:55 p.m.