Triple
T10465730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | How the Mighty Fall |
E246788
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Kill with Your Smile |
E866300
|
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: Kill with Your Smile | Statement: [How the Mighty Fall, hasPart, Kill with Your Smile]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kill with Your Smile Context triple: [How the Mighty Fall, hasPart, Kill with Your Smile]
-
A.
Kill with Your Smile
chosen
"Kill with Your Smile" is a song featured on Jamelia's 2003 R&B/pop album *In Your Own Time*.
-
B.
Smile Away
"Smile Away" is a rock song by Paul McCartney and Wings, known for its upbeat tempo and playful lyrics.
-
C.
Put On a Smile
"Put On a Smile" is a soulful, retro-inspired R&B ballad by Silk Sonic, the duo of Bruno Mars and Anderson .Paak, featured on their collaborative album *An Evening with Silk Sonic*.
-
D.
Smile Please
"Smile Please" is a song from Stevie Wonder’s acclaimed 1974 soul and R&B album *Fulfillingness' First Finale*.
-
E.
Smile Like You Mean It
"Smile Like You Mean It" is a song by American rock band The Killers from their debut album "Hot Fuss," known for its synth-driven sound and reflective 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5092d6d408190b6bda4d7ced4601e |
completed | April 7, 2026, 1:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dc5c26a88190aab4a590c20191a3 |
completed | April 10, 2026, 11:17 a.m. |
Created at: April 6, 2026, 12:19 p.m.