Triple
T6230493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Wide Suicide |
E139339
|
entity |
| Predicate | precededBySingle |
P97
|
FINISHED |
| Object | Save You |
E578040
|
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: Save You | Statement: [World Wide Suicide, precededBySingle, Save You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Save You Context triple: [World Wide Suicide, precededBySingle, Save You]
-
A.
Save You
chosen
"Save You" is a song by the American rock band Pearl Jam, featured on their 2002 album *Riot Act*.
-
B.
Save Me
"Save Me" is a rock song by Remy Zero best known as the theme music for the television series Smallville.
-
C.
Save Me
"Save Me" is a popular rock song by the American band Hinder, known for its post-grunge style and emotionally charged lyrics.
-
D.
The Love You Save
"The Love You Save" is a 1970 Motown soul single by the Jackson 5, known for its upbeat sound, socially conscious lyrics, and Michael Jackson's dynamic lead vocal.
-
E.
Save Your Tears
"Save Your Tears" is a synth-pop song by Canadian singer The Weeknd, best known as one of the hit singles from his album "After Hours" and for its successful remix featuring Ariana Grande.
- 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_69c008afd3148190b71e9eaa60420dd1 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062d9a33c8190b66dbd89e0e3bbba |
completed | March 22, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c243f785dc819084d2a11151d84227 |
completed | March 24, 2026, 7:57 a.m. |
Created at: March 22, 2026, 4:22 p.m.