Triple
T20447987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anthem for a New Tomorrow |
E501567
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Every Night
"Every Night" is a song by the punk rock band Screeching Weasel from their 1993 album *Anthem for a New Tomorrow*.
|
E1431512
|
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: Every Night | Statement: [Anthem for a New Tomorrow, hasPart, Every Night]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Every Night Context triple: [Anthem for a New Tomorrow, hasPart, Every Night]
-
A.
Every Night
"Every Night" is a song featured on the soundtrack of the 1936 musical film "Anything Goes."
-
B.
Every Single Night
"Every Single Night" is an introspective, avant-pop song by American singer-songwriter Fiona Apple, known for its intricate lyrics and unconventional musical structure.
-
C.
Tonight and Every Night
Tonight and Every Night is a 1945 Technicolor musical film starring Rita Hayworth, set in wartime London and loosely inspired by the real-life Windmill Theatre.
-
D.
Beautiful Night
"Beautiful Night" is a melodic, romantic ballad by Paul McCartney, featured on his 1997 album "Flaming Pie."
-
E.
Night After Night
Night After Night is an album that serves as the subsequent release to I Came to Dance in the artist's discography.
- 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: Every Night Triple: [Anthem for a New Tomorrow, hasPart, Every Night]
Generated description
"Every Night" is a song by the punk rock band Screeching Weasel from their 1993 album *Anthem for a New Tomorrow*.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Every Night Target entity description: "Every Night" is a song by the punk rock band Screeching Weasel from their 1993 album *Anthem for a New Tomorrow*.
-
A.
Every Night
"Every Night" is a song featured on the soundtrack of the 1936 musical film "Anything Goes."
-
B.
Every Single Night
"Every Single Night" is an introspective, avant-pop song by American singer-songwriter Fiona Apple, known for its intricate lyrics and unconventional musical structure.
-
C.
Tonight and Every Night
Tonight and Every Night is a 1945 Technicolor musical film starring Rita Hayworth, set in wartime London and loosely inspired by the real-life Windmill Theatre.
-
D.
Beautiful Night
"Beautiful Night" is a melodic, romantic ballad by Paul McCartney, featured on his 1997 album "Flaming Pie."
-
E.
Night After Night
Night After Night is an album that serves as the subsequent release to I Came to Dance in the artist's discography.
- 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_69e0b4ac0a1c81908845d0f8a56abce8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e68cff1bcc8190bfc843686be117cb |
completed | April 20, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0884080b388190aecf47ebd4ab494f |
completed | May 16, 2026, 2:49 p.m. |
| NEDg | Description generation | batch_6a08859b65b88190af28a075931fa380 |
completed | May 16, 2026, 2:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08863ed9748190bd15713b2cfa61c0 |
completed | May 16, 2026, 2:59 p.m. |
Created at: April 16, 2026, 11:32 a.m.