Triple
T15798739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Make-Up |
E383043
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Save Yourself |
E1177139
|
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 Yourself | Statement: [The Make-Up, notableWork, Save Yourself]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Save Yourself Context triple: [The Make-Up, notableWork, Save Yourself]
-
A.
Save Yourself
"Save Yourself" is a dark, character-driven suspense novel by American author Kelly Braffet that explores damaged lives, family dysfunction, and moral ambiguity in a small-town setting.
-
B.
Save Yourself
chosen
"Save Yourself" is a studio album by the American post-punk band The Make-Up, showcasing their distinctive blend of garage rock, soul, and political lyricism.
-
C.
Save You
"Save You" is a song by the American rock band Pearl Jam, featured on their 2002 album *Riot Act*.
-
D.
Save Me
"Save Me" is a rock song by Remy Zero best known as the theme music for the television series Smallville.
-
E.
Save Me
"Save Me" is a song by South Korean singer Taeyeon from her album "Ytilaer," showcasing her emotive vocals and introspective pop style.
- 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4e00d348190bc98917c4098ec2f |
completed | April 16, 2026, 10:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff998b52e481908baa20b5a8c1cbcf |
completed | May 9, 2026, 8:31 p.m. |
Created at: April 10, 2026, 4:48 a.m.