Triple
T11899819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | This Feeling |
E283119
|
entity |
| Predicate | followsSingle |
P9710
|
FINISHED |
| Object | Save Yourself |
E901388
|
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: [This Feeling, followsSingle, Save Yourself]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Save Yourself Context triple: [This Feeling, followsSingle, Save Yourself]
-
A.
Save Yourself
chosen
"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 You
"Save You" is a song by the American rock band Pearl Jam, featured on their 2002 album *Riot Act*.
-
C.
Save Me
"Save Me" is a rock song by Remy Zero best known as the theme music for the television series Smallville.
-
D.
Save Me
"Save Me" is a popular rock song by the American band Hinder, known for its post-grunge style and emotionally charged lyrics.
-
E.
Save Me
"Save Me" is a critically acclaimed song by American singer-songwriter Aimee Mann, best known for its prominent use in the film *Magnolia* and its nomination for the Academy Award for Best Original Song.
- 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_69d6ab2a90b08190a4e818821cc93e6d |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8dd16433881909befca9774bdaab4 |
completed | April 10, 2026, 11:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4182f18c08190b22706b024d60dd7 |
completed | May 1, 2026, 3:04 a.m. |
Created at: April 8, 2026, 9:44 p.m.