Triple
T22547538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sex Kittens Go to College |
E557466
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Louis Nye |
—
|
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: Louis Nye | Statement: [Sex Kittens Go to College, starring, Louis Nye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Louis Nye Context triple: [Sex Kittens Go to College, starring, Louis Nye]
-
A.
Louis Nye
chosen
Louis Nye was an American comedian and character actor best known for his witty television appearances and recurring roles during the early years of late-night TV.
-
B.
James W. Nye
James W. Nye was a 19th-century American politician who served as the first governor of the Nevada Territory and later as a U.S. senator from Nevada.
-
C.
George Tickner
George Tickner was an American rock guitarist and songwriter best known as a founding member of the band Journey.
-
D.
Herbert Browne
Herbert Browne was an architect known for designing notable buildings in Washington, D.C., including the historic Anderson House.
-
E.
Harold H. Seward
Harold H. Seward was an American computer scientist known for his contributions to sorting algorithms and early work in computer science theory.
- 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_69e11e58662081909ae346ab384514ca |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f366f208190abbc6eb4780b2d48 |
completed | April 29, 2026, 1:30 a.m. |
Created at: April 16, 2026, 8:52 p.m.