Triple
T10366979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | As If to Nothing |
E244276
|
entity |
| Predicate | notableTrack |
P8087
|
FINISHED |
| Object | Wake Up in New York |
E860565
|
NE FINISHED |
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: Wake Up in New York | Statement: [As If to Nothing, notableTrack, Wake Up in New York]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wake Up in New York Context triple: [As If to Nothing, notableTrack, Wake Up in New York]
-
A.
Wake Up in New York
chosen
"Wake Up in New York" is a melancholic, atmospheric song by Craig Armstrong featuring Evan Dando, known for its sparse piano arrangement and introspective lyrics.
-
B.
Wake Up
"Wake Up" is a song featured on the album "This Is Not a Test!" by American singer and rapper Missy Elliott.
-
C.
Wake Up
Wake Up is a short film directed by Olivia Wilde that explores themes of technology, disconnection, and human connection.
-
D.
Wake Up
"Wake Up" is a soulful R&B song by Alicia Keys featured on her acclaimed album *The Diary of Alicia Keys*.
-
E.
Here Is New York
"Here Is New York" is a classic 1949 essay by E. B. White that offers a reflective, intimate portrait of New York City and its character in the mid-20th century.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e96fd6f081908f630a16106996d9 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fb8e96e081908282bb0f82719abe |
completed | April 9, 2026, 7:18 p.m. |
Created at: April 6, 2026, noon