Triple
T7814042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Counting Stars |
E180756
|
entity |
| Predicate | precededBy |
P97
|
FINISHED |
| Object | If I Lose Myself |
E694724
|
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: If I Lose Myself | Statement: [Counting Stars, precededBy, If I Lose Myself]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: If I Lose Myself Context triple: [Counting Stars, precededBy, If I Lose Myself]
-
A.
If I Lose Myself
chosen
"If I Lose Myself" is a 2013 electro-pop song by American band OneRepublic, known for its soaring chorus and introspective lyrics about fear, vulnerability, and connection.
-
B.
You Lost Me
"You Lost Me" is a soulful pop ballad by Christina Aguilera from her 2010 album *Bionic*, noted for its emotional vocals and themes of heartbreak and betrayal.
-
C.
Like I'm Gonna Lose You
"Like I'm Gonna Lose You" is a soulful pop ballad by Meghan Trainor featuring John Legend that reflects on cherishing loved ones as if every moment with them could be the last.
-
D.
Let Yourself Go
"Let Yourself Go" is a punk rock song by Green Day from their 2012 album ¡Uno!.
-
E.
Let Yourself Go
"Let Yourself Go" is a studio album by Broadway and television star Kristin Chenoweth, featuring her interpretations of classic songs in a retro, big-band and vocal jazz 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_69ca827f6f148190beca4e245b993506 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf96c009c81909726e1653b6f1348 |
completed | March 30, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5a5048a88190874d7ff205151d8a |
completed | March 31, 2026, 5:23 a.m. |
Created at: March 30, 2026, 4:38 p.m.