Triple
T17444047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matlock |
E424732
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Kene Holliday |
—
|
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: Kene Holliday | Statement: [Matlock, starring, Kene Holliday]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kene Holliday Context triple: [Matlock, starring, Kene Holliday]
-
A.
Kene Holliday
chosen
Kene Holliday is an American actor best known for his role as investigator Tyler Hudson on the television series "Matlock."
-
B.
Cleavon Little
Cleavon Little was an American actor and comedian best known for his starring role as Sheriff Bart in Mel Brooks' satirical Western film "Blazing Saddles."
-
C.
Russel Hines
Russel Hines is a fictional character in the darkly comedic crime film "To Die For."
-
D.
Roy Hinson
Roy Hinson is a former American professional basketball player and standout forward from Rutgers University who played several seasons in the NBA during the 1980s.
-
E.
Hal Wilkerson
Hal Wilkerson is the well-meaning, eccentric, and often childlike father character played by Bryan Cranston on the television sitcom "Malcolm in the Middle."
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44ffa2d84819086474649eba1065c |
completed | April 19, 2026, 3:46 a.m. |
Created at: April 10, 2026, 5:47 a.m.