Triple
T12815994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pleasant Valley Sunday |
E306402
|
entity |
| Predicate | bSide |
P15273
|
FINISHED |
| Object | Words |
E417120
|
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: Words | Statement: [Pleasant Valley Sunday, bSide, Words]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Words Context triple: [Pleasant Valley Sunday, bSide, Words]
-
A.
Words
chosen
"Words" is a popular song by the Bee Gees, notable for its gentle melody and heartfelt lyrics that have made it a classic ballad.
-
B.
Words and Music
Words and Music is a 1948 American musical film that dramatizes the partnership and songs of famed Broadway songwriting duo Richard Rodgers and Lorenz Hart.
-
C.
Lines
"Lines" is a track from Big Boi’s 2012 hip-hop album *Vicious Lies and Dangerous Rumors*, known for its genre-blending production and collaborative features.
-
D.
Writing and Language
Writing and Language is a PSAT/NMSQT subsection that tests students’ ability to revise and edit passages for clarity, grammar, usage, and effective written expression.
-
E.
Words and Things
Words and Things is a seminal work in psycholinguistics by Roger Brown that explores how language is acquired, structured, and used to represent the world.
- 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_69d7bdf46c448190b1faa55aaacb6317 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e9beb30819097c256a5aab9a4c8 |
completed | April 10, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68ecc83b88190a6f1ab0bb1ebaf76 |
completed | May 2, 2026, 11:54 p.m. |
Created at: April 9, 2026, 5:31 p.m.