Triple
T4556338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maxim Knight |
E120488
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Maxim Knight |
E120488
|
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: Maxim Knight | Statement: [Maxim Knight, name, Maxim Knight]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maxim Knight Context triple: [Maxim Knight, name, 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.
Ryan Sinclair
Ryan Sinclair is a companion of the Thirteenth Doctor in the television series Doctor Who, known for his bravery and growth throughout their time-traveling adventures.
-
C.
Brady Hawkes
Brady Hawkes is the seasoned, cool-headed professional gambler protagonist of the TV film series "The Gambler," known for his skill at cards and calm demeanor in the Old West.
-
D.
Robert McCall
Robert McCall was an American space artist and illustrator renowned for his visionary depictions of space exploration and his artwork for NASA missions and popular science fiction films.
-
E.
Robert McCall
Robert McCall is a former intelligence operative who uses his skills to vigilantly protect the vulnerable and deliver justice in "The Equalizer" franchise.
- 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_69bd4636f1648190a701445c2fcd9c17 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd5814f56c8190a65f61f6148b7e5a |
completed | March 20, 2026, 2:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdc584b3188190958de6cdc1656bf3 |
completed | March 20, 2026, 10:09 p.m. |
Created at: March 20, 2026, 1:09 p.m.