Triple
T16510697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weezer (Green Album) |
E401051
|
entity |
| Predicate | track |
P17929
|
FINISHED |
| Object |
Smile
"Smile" is a melodic alternative rock song by American band Weezer from their self-titled 2001 "Green Album," noted for its catchy hooks and introspective lyrics.
|
E1217789
|
NE FINISHED |
How this triple was built (4 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: Smile | Statement: [Weezer (Green Album), track, Smile]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Smile Context triple: [Weezer (Green Album), track, Smile]
-
A.
Smile
"Smile" is a 2020 pop album by American singer Katy Perry that explores themes of resilience, self-acceptance, and personal growth.
-
B.
Smile
"Smile" is a 1975 satirical comedy film that skewers the absurdities of American beauty pageants and small-town ambition.
-
C.
Smile
"Smile" is a song featured on Mary J. Blige's R&B album "Strength of a Woman."
-
D.
Smile
"Smile" is a 2006 pop song by British singer Lily Allen that became her breakthrough hit, known for its upbeat melody contrasted with bittersweet, vengeful lyrics.
-
E.
Smile
"Smile" is a popular country-pop song by American musician Uncle Kracker, known for its upbeat, feel-good lyrics and radio-friendly melody.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Smile Triple: [Weezer (Green Album), track, Smile]
Generated description
"Smile" is a melodic alternative rock song by American band Weezer from their self-titled 2001 "Green Album," noted for its catchy hooks and introspective lyrics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Smile Target entity description: "Smile" is a melodic alternative rock song by American band Weezer from their self-titled 2001 "Green Album," noted for its catchy hooks and introspective lyrics.
-
A.
Smile
"Smile" is a 2006 pop song by British singer Lily Allen that became her breakthrough hit, known for its upbeat melody contrasted with bittersweet, vengeful lyrics.
-
B.
Smile
"Smile" is a popular country-pop song by American musician Uncle Kracker, known for its upbeat, feel-good lyrics and radio-friendly melody.
-
C.
Smile
"Smile" is a song by American singer Grace, known for its soulful pop style and emotive vocals.
-
D.
Smile
"Smile" is a 2020 pop album by American singer Katy Perry that explores themes of resilience, self-acceptance, and personal growth.
-
E.
Smile
"Smile" is a smooth, romantic Afrobeats track by Nigerian artist Wizkid featuring H.E.R., known for its mellow vibe and themes of love and gratitude.
- F. None of above. chosen
Provenance (5 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e55fe7c8190abc957bdd326d1bc |
completed | April 18, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00608038288190925586dfb7e64689 |
completed | May 10, 2026, 10:40 a.m. |
| NEDg | Description generation | batch_6a0060fd5d6c819099d5d1ccaaa907c9 |
completed | May 10, 2026, 10:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0061e78b68819095d554b2ff7a329a |
completed | May 10, 2026, 10:45 a.m. |
Created at: April 10, 2026, 5:14 a.m.