Triple
T20453235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blush |
E501707
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Late Night |
—
|
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: Late Night | Statement: [Blush, hasPart, Late Night]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Late Night Context triple: [Blush, hasPart, Late Night]
-
A.
Late Night
Late Night is a 2019 comedy-drama film about a veteran late-night talk show host who hires her first female writer to revitalize her struggling show.
-
B.
Late Night
chosen
Late Night is a long-running American late-night talk show franchise on NBC, known for its rotating hosts and comedic interviews with celebrity guests.
-
C.
Late Nite
Late Nite is a solo album by Journey guitarist Neal Schon that showcases his melodic rock guitar work outside the band’s catalog.
-
D.
Goodnight Tonight
"Goodnight Tonight" is a 1979 disco-influenced single by Paul McCartney and Wings, known for its catchy bassline and blend of rock and dance music.
-
E.
Long Night
The Long Night is a legendary ancient winter in the world of *Game of Thrones* when darkness and extreme cold covered the land and the White Walkers first waged war against humanity.
- 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_69e0b4ac0a1c81908845d0f8a56abce8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e68d039af08190827bf765b50515a8 |
completed | April 20, 2026, 8:30 p.m. |
Created at: April 16, 2026, 11:32 a.m.