Triple
T14043793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Fray |
E337907
|
entity |
| Predicate | debutAlbum |
P3278
|
FINISHED |
| Object | How to Save a Life |
E1075665
|
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: How to Save a Life | Statement: [The Fray, debutAlbum, How to Save a Life]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: How to Save a Life Context triple: [The Fray, debutAlbum, How to Save a Life]
-
A.
How to Save a Life
chosen
"How to Save a Life" is a piano-driven pop rock ballad by The Fray that gained widespread popularity in the mid-2000s for its emotional lyrics and frequent use in television dramas.
-
B.
Save My Life
"Save My Life" is a song by British singer-songwriter Celia, known for its emotive vocals and contemporary pop production.
-
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.
Save Me
"Save Me" is a 1980 rock ballad by Queen, written by guitarist Brian May and known for its emotional lyrics and powerful vocal performance by Freddie Mercury.
-
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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de312b94308190bd0961f5bc719c7b |
completed | April 14, 2026, 12:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb65c1a90819097754497f07f5312 |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:20 p.m.