Triple
T19228835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linden Ashby |
E480813
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Linden Ashby |
—
|
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: Linden Ashby | Statement: [Linden Ashby, name, Linden Ashby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linden Ashby Context triple: [Linden Ashby, name, Linden Ashby]
-
A.
Linden Ashby
chosen
Linden Ashby is an American actor best known for his roles in films like Mortal Kombat and television series such as Melrose Place and Teen Wolf.
-
B.
Shannon Keach
Shannon Keach is the child of American actor and narrator Stacy Keach.
-
C.
Gena Lee Nolin
Gena Lee Nolin is an American actress and model best known for her role as Neely Capshaw on the television series Baywatch.
-
D.
Karen Jacobsen
Karen Jacobsen is an Australian-born voice-over artist and singer best known as the original voice of the GPS navigation system used in millions of devices worldwide.
-
E.
Kim Stanley
Kim Stanley was an acclaimed American stage and screen actress known for her intense, psychologically nuanced performances and influential work in mid-20th-century theater and film.
- 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_69d8e8ccb8f48190ad420098e74fb1db |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fa9b167881908fc46d46c2d53423 |
completed | April 20, 2026, 10:06 a.m. |
Created at: April 10, 2026, 1:25 p.m.