Triple
T17361040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Homework |
E422065
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Around the World |
—
|
NE ONDG |
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: Around the World | Statement: [Homework, hasPart, Around the World]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Around the World Context triple: [Homework, hasPart, Around the World]
-
A.
Around the World
"Around the World" is a song featured on the album "Lotus," likely contributing to the record's overall musical and thematic style.
-
B.
Around the World
"Around the World" is a popular standard from the mid-20th-century Great American Songbook, best known for its romantic melody and frequent inclusion in classic vocal jazz and pop repertoires.
-
C.
Around the World
"Around the World" is a 1997 electronic dance track by French duo Daft Punk, renowned for its repetitive vocoder hook and iconic Michel Gondry–directed music video.
-
D.
Around the World
"Around the World" is a song by American rapper and producer Kanye West, known for its melodic style and introspective lyrics.
-
E.
Around the World
"Around the World" is a musical number from the stage adaptation of Grey Gardens that reflects the eccentric, nostalgic world of its central characters.
- 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: Around the World Triple: [Homework, hasPart, Around the World]
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Around the World Target entity description: "Around the World" is a song by the American rock band Red Hot Chili Peppers, known for its energetic funk-rock style and appearance on their album "Californication."
-
A.
Around the World
"Around the World" is a song featured on the album "Lotus," likely contributing to the record's overall musical and thematic style.
-
B.
Around the World
"Around the World" is a popular standard from the mid-20th-century Great American Songbook, best known for its romantic melody and frequent inclusion in classic vocal jazz and pop repertoires.
-
C.
Around the World
"Around the World" is a 1997 electronic dance track by French duo Daft Punk, renowned for its repetitive vocoder hook and iconic Michel Gondry–directed music video.
-
D.
Around the World
"Around the World" is a song by American rapper and producer Kanye West, known for its melodic style and introspective lyrics.
-
E.
Around the World
"Around the World" is a musical number from the stage adaptation of Grey Gardens that reflects the eccentric, nostalgic world of its central characters.
- F. None of above. chosen
Provenance (4 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a4cacd881909fd722068b019f25 |
completed | April 19, 2026, 2:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0195609d988190b7a70f8eabf75eaa |
completed | May 11, 2026, 8:37 a.m. |
| NEDg | Description generation | batch_6a01962ae4848190b2aad8e19bf6522f |
in_progress | May 11, 2026, 8:41 a.m. |
Created at: April 10, 2026, 5:44 a.m.