Triple
T21010362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anywhere |
E517529
|
entity |
| Predicate | chronologyPreviousSingle |
P97
|
FINISHED |
| Object | Your Song |
—
|
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: Your Song | Statement: [Anywhere, chronologyPreviousSingle, Your Song]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Your Song Context triple: [Anywhere, chronologyPreviousSingle, Your Song]
-
A.
Your Song
chosen
"Your Song" is a classic pop ballad by Elton John, celebrated for its heartfelt lyrics and simple, melodic piano accompaniment.
-
B.
Our Song
"Our Song" is a track by the English progressive rock band Yes, featured on their 1983 album "90125."
-
C.
Our Song
"Our Song" is a breakout country single by Taylor Swift that she wrote in high school, known for its catchy storytelling about young love and everyday moments.
-
D.
Only You
"Only You" is a song featured on Colbie Caillat’s album *The Malibu Sessions*, showcasing her laid-back, acoustic pop style.
-
E.
Only You
Only You is a 1994 romantic comedy film in which Joaquim de Almeida plays a charming Italian character who becomes entangled in the protagonist’s quest for true love.
- 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_69e0b50192308190a284fcc89dd23a49 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc3edc548190987a6c2c9936286a |
completed | April 21, 2026, 4:25 a.m. |
Created at: April 16, 2026, 1:53 p.m.