Triple
T16677484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Under Your Skin |
E405249
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Loser |
E1094844
|
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: Loser | Statement: [Under Your Skin, hasPart, Loser]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loser Context triple: [Under Your Skin, hasPart, Loser]
-
A.
Loser
"Loser" is a rock song by American band 3 Doors Down, released as a single from their debut album "The Better Life" and known for its dark, introspective lyrics and strong chart performance.
-
B.
Loser
"Loser" is a pop song by American singer-songwriter Charlie Puth, known for its catchy melody and emotionally vulnerable lyrics about heartbreak and regret.
-
C.
Loser
"Loser" is a 2000 romantic comedy film starring Jason Biggs as a socially awkward college student navigating love and friendship in New York City.
-
D.
Loser
chosen
"Loser" is a breakthrough 1993 alternative rock single by Beck that blends folk, hip hop, and lo-fi elements and became his first major hit.
-
E.
I'm a Loser
"I'm a Loser" is a 1964 Beatles song, written primarily by John Lennon, that blends folk-rock influences with introspective, self-critical lyrics.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d6c805c81909fbe4fcb20eedbe1 |
completed | April 18, 2026, 12:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d32e7b48190b7dd4660bed4789d |
completed | May 10, 2026, 2:58 p.m. |
Created at: April 10, 2026, 5:19 a.m.