Triple
T22798053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Water High |
E564302
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Khan Chittenden |
—
|
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: Khan Chittenden | Statement: [Blue Water High, stars, Khan Chittenden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khan Chittenden Context triple: [Blue Water High, stars, Khan Chittenden]
-
A.
Khan Chittenden
chosen
Khan Chittenden is an Australian actor known for his work in film and television, including roles in dramas and thrillers.
-
B.
Grafton Hunt
Grafton Hunt is a traditional British foxhound pack and hunting organization historically linked to the Dukes of Grafton.
-
C.
William Mapother
William Mapother is an American character actor known for his intense supporting roles in film and television, including a notable performance in the drama "In the Bedroom."
-
D.
William Antrim
William Antrim was the stepfather of the infamous American outlaw Billy the Kid, having married the boy’s mother Catherine McCarty in the late 19th century.
-
E.
Gridley Bryant
Gridley Bryant was a 19th-century American civil engineer best known for pioneering early railroad engineering and construction techniques in the United States.
- 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_69e2458185f88190b0045227ee420411 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17cda76448190891c5190e1d75ae0 |
completed | April 29, 2026, 3:36 a.m. |
Created at: April 17, 2026, 3:30 p.m.