Triple
T22234998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kane Baker |
E549568
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Kane Baker |
—
|
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: Kane Baker | Statement: [Kane Baker, name, Kane Baker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kane Baker Context triple: [Kane Baker, name, Kane Baker]
-
A.
Kane Baker
chosen
Kane Baker is the husband of Australian actress Rebekah Elmaloglou, known for her long-running role on the soap opera "Neighbours."
-
B.
Kyle Baker
Kyle Baker is an American cartoonist and comic book artist known for his distinctive expressive style and acclaimed work on both mainstream superhero titles and creator-owned graphic novels.
-
C.
Robby Kiger
Robby Kiger is an American former child actor best known for his role in the 1987 cult horror-comedy film "The Monster Squad."
-
D.
Kane Kalas
Kane Kalas is an American professional poker player and singer, known both for his tournament success and as the son of legendary Philadelphia Phillies broadcaster Harry Kalas.
-
E.
Dan Baker
Dan Baker is a composer and musician known for creating the soundtrack to the film "Tyrannosaur."
- 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_69e11e4102b881909cf47d3768e25c19 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12bf6d74c8190a1d8d8fc24a06bd1 |
completed | April 28, 2026, 9:51 p.m. |
Created at: April 16, 2026, 8:38 p.m.