Triple
T8696256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nice As Fuck |
E206410
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object |
The Like
The Like was an American all-female indie rock band from Los Angeles known for its 1960s-influenced sound and stylish, retro aesthetic.
|
E750779
|
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: The Like | Statement: [Nice As Fuck, associatedAct, The Like]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Like Context triple: [Nice As Fuck, associatedAct, The Like]
-
A.
Like This and Like That
"Like This and Like That" is a song by American R&B singer Monica from her debut album "Miss Thang."
-
B.
Friend Like Me
"Friend Like Me" is a show-stopping, jazz-infused musical number from Disney’s animated film Aladdin, performed by the Genie as he demonstrates his magical powers.
-
C.
Do Like You
"Do Like You" is a song by Stevie Wonder from his acclaimed 1980 album *Hotter than July*.
-
D.
What'chu Like
"What'chu Like" is a 1999 hip hop single by Da Brat featuring Tyrese, best known for its smooth, R&B-infused sound and commercial success on the Billboard charts.
-
E.
What It's Like
"What It's Like" is a 1998 hip hop song by Everlast that blends acoustic guitar with reflective storytelling about hardship and social struggle.
- 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: The Like Triple: [Nice As Fuck, associatedAct, The Like]
Generated description
The Like was an American all-female indie rock band from Los Angeles known for its 1960s-influenced sound and stylish, retro aesthetic.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Like Target entity description: The Like was an American all-female indie rock band from Los Angeles known for its 1960s-influenced sound and stylish, retro aesthetic.
-
A.
Like This and Like That
"Like This and Like That" is a song by American R&B singer Monica from her debut album "Miss Thang."
-
B.
Friend Like Me
"Friend Like Me" is a show-stopping, jazz-infused musical number from Disney’s animated film Aladdin, performed by the Genie as he demonstrates his magical powers.
-
C.
Do Like You
"Do Like You" is a song by Stevie Wonder from his acclaimed 1980 album *Hotter than July*.
-
D.
What'chu Like
"What'chu Like" is a 1999 hip hop single by Da Brat featuring Tyrese, best known for its smooth, R&B-infused sound and commercial success on the Billboard charts.
-
E.
What It's Like
"What It's Like" is a 1998 hip hop song by Everlast that blends acoustic guitar with reflective storytelling about hardship and social struggle.
- 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_69ca83555b6c8190abe930dd397e863b |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc582996a0819097ad03097ad1f103 |
completed | March 31, 2026, 11:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef3fc5a788190a765942fc0b964c9 |
completed | April 2, 2026, 10:55 p.m. |
| NEDg | Description generation | batch_69cef52200788190a8173da1aaa4f681 |
completed | April 2, 2026, 11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cef6c109b08190bb29ce2747f3ccb7 |
completed | April 2, 2026, 11:07 p.m. |
Created at: March 30, 2026, 6:34 p.m.