Triple
T22767267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samantha Baker |
E563159
|
entity |
| Predicate | hasCrushOn |
P7325
|
FINISHED |
| Object | Jake Ryan |
—
|
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: Jake Ryan | Statement: [Samantha Baker, hasCrushOn, Jake Ryan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jake Ryan Context triple: [Samantha Baker, hasCrushOn, Jake Ryan]
-
A.
Jake Ryan
Jake Ryan is a fictional teen heartthrob and recurring love interest character from the Disney Channel series "Hannah Montana."
-
B.
Jake Ryan
Jake Ryan is an actor known for his role in Wes Anderson’s film "Asteroid City."
-
C.
Jake Ryan
chosen
Jake Ryan is the popular, sensitive high school heartthrob who becomes Samantha Baker’s romantic interest in the 1984 teen film "Sixteen Candles."
-
D.
Sam Ryan
Sam Ryan is the central forensic pathologist and early lead character in the British crime drama series "Silent Witness."
-
E.
Sam Ryan
Sam Ryan is one of the children of Janna Little Ryan and her husband, American politician Paul Ryan.
- 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_69e24552e11c81909c2d61578a558bd7 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17a81d3348190b005a43a5e03d406 |
completed | April 29, 2026, 3:26 a.m. |
Created at: April 17, 2026, 3:27 p.m.