Triple
T20436358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Treat Myself |
E501259
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Nice to Meet Ya |
—
|
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: Nice to Meet Ya | Statement: [Treat Myself, hasPart, Nice to Meet Ya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nice to Meet Ya Context triple: [Treat Myself, hasPart, Nice to Meet Ya]
-
A.
Nice to Meet Ya
chosen
"Nice to Meet Ya" is a 2019 pop-rock single by Irish singer-songwriter Niall Horan, known for its upbeat, guitar-driven sound and confident, flirtatious lyrics.
-
B.
Nice to Meet You Anyway
"Nice to Meet You Anyway" is a song by the American rock band Chariot.
-
C.
Nice to Know You
"Nice to Know You" is a popular rock song by the American band Incubus, known for its dynamic guitar work and introspective lyrics.
-
D.
Tell Ya Friends
"Tell Ya Friends" is a mixtape by Cleveland rapper Chip tha Ripper that showcases his laid-back flow and witty, street-oriented lyricism over atmospheric production.
-
E.
You ’n’ Me
"You ’n’ Me" is a song by the British hard rock band Whitesnake, featured on their 1979 album *Lovehunter*.
- 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_69e0b4ab3cfc8190ac9bf32e932316b1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e685ef5fc8819089e3f97a63a52f86 |
completed | April 20, 2026, 8 p.m. |
Created at: April 16, 2026, 11:31 a.m.