Triple
T20409012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roger Waters: The Wall (film) |
E500539
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Hey 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: Hey You | Statement: [Roger Waters: The Wall (film), notableSong, Hey You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hey You Context triple: [Roger Waters: The Wall (film), notableSong, Hey You]
-
A.
Hey You
chosen
"Hey You" is a haunting, introspective rock song by Pink Floyd from their concept album *The Wall*, exploring themes of isolation and desperate longing for connection.
-
B.
Hey You
"Hey You" is a song by the American rock band No Doubt from their breakthrough 1995 album *Tragic Kingdom*.
-
C.
Hey You (You Make Me Rock)
"Hey You (You Make Me Rock)" is a hard rock song by the American glam metal band Poison from their 1990 album "Flesh & Blood."
-
D.
I Want You
"I Want You" is a fast-paced, lyrically intricate love song by Bob Dylan, featured on his 1966 album Blonde on Blonde.
-
E.
I Want You
"I Want You" is a song that appears as a component track on the album *All I Ever Wanted*.
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a3e0c1c8190be39d7f09c839dfa |
completed | April 20, 2026, 7:10 p.m. |
Created at: April 16, 2026, 11:29 a.m.