Triple
T20793963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Near You |
E511855
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Near You |
—
|
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: Near You | Statement: [Near You, title, Near You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Near You Context triple: [Near You, title, Near You]
-
A.
Near You
chosen
"Near You" is a song by the American rock band Gone.
-
B.
Near You
"Near You" is a country music song popularized by Tammy Wynette, known for its heartfelt lyrics and classic Nashville sound.
-
C.
Be Near Me
Be Near Me is a 1985 synth-pop song by the English band ABC, known for its catchy melody and polished production.
-
D.
Where You At
"Where You At" is a soulful R&B ballad by Jennifer Hudson that showcases her powerful vocals and served as a lead single from her second studio album.
-
E.
Where You Are
"Where You Are" is a musical number from the stage adaptation of *Kiss of the Spider Woman*, known for its dramatic, character-driven storytelling within the show’s score.
- 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_69e0b4cb83948190bd57bec21d78ed53 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2abbcc8819091bb0225a0650ab6 |
completed | April 21, 2026, 12:19 a.m. |
Created at: April 16, 2026, 12:39 p.m.