Triple
T16122390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hot Chip |
E391179
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Boy from School
"Boy from School" is a critically acclaimed electronic pop song by the British band Hot Chip, known for its melancholic lyrics and layered, synth-driven production.
|
E1196731
|
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: Boy from School | Statement: [Hot Chip, notableWork, Boy from School]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boy from School Context triple: [Hot Chip, notableWork, Boy from School]
-
A.
This Boy
"This Boy" is a memoir by British politician Alan Johnson that recounts his impoverished childhood in post-war London.
-
B.
In School
In School is a non-fiction book by former NHL goaltender and Canadian politician Ken Dryden that examines the challenges and possibilities of the modern education system.
-
C.
One Boy
"One Boy" is a romantic ballad from the 1960 Broadway musical *Bye Bye Birdie*, expressing a young woman's idealized feelings for a single special boy.
-
D.
After School
"After School" is a track featured on the K-pop album "G.O.A.T." by the group Apink.
-
E.
Lane Boy
"Lane Boy" is a genre-blending, reggae- and electronic-influenced track by Twenty One Pilots that critiques music industry expectations and pressures.
- 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: Boy from School Triple: [Hot Chip, notableWork, Boy from School]
Generated description
"Boy from School" is a critically acclaimed electronic pop song by the British band Hot Chip, known for its melancholic lyrics and layered, synth-driven production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Boy from School Target entity description: "Boy from School" is a critically acclaimed electronic pop song by the British band Hot Chip, known for its melancholic lyrics and layered, synth-driven production.
-
A.
This Boy
"This Boy" is a memoir by British politician Alan Johnson that recounts his impoverished childhood in post-war London.
-
B.
In School
In School is a non-fiction book by former NHL goaltender and Canadian politician Ken Dryden that examines the challenges and possibilities of the modern education system.
-
C.
One Boy
"One Boy" is a romantic ballad from the 1960 Broadway musical *Bye Bye Birdie*, expressing a young woman's idealized feelings for a single special boy.
-
D.
After School
"After School" is a track featured on the K-pop album "G.O.A.T." by the group Apink.
-
E.
Lane Boy
"Lane Boy" is a genre-blending, reggae- and electronic-influenced track by Twenty One Pilots that critiques music industry expectations and pressures.
- 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e202027e78819091192aa62aedde13 |
completed | April 17, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff2a7fe308190a9a2ef7815e788c6 |
completed | May 10, 2026, 2:51 a.m. |
| NEDg | Description generation | batch_69fff3b25ba081909c396431ace865ac |
completed | May 10, 2026, 2:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fff4a2964c8190bfa8c2fa0f934abe |
completed | May 10, 2026, 2:59 a.m. |
Created at: April 10, 2026, 5 a.m.