Triple
T8843105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soundtrack to Human Motion |
E210434
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
JAMO Meets SAMO
"JAMO Meets SAMO" is a musical track featured on the album "Soundtrack to Human Motion," likely contributing to its contemporary jazz and experimental sound.
|
E760191
|
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: JAMO Meets SAMO | Statement: [Soundtrack to Human Motion, hasTrack, JAMO Meets SAMO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JAMO Meets SAMO Context triple: [Soundtrack to Human Motion, hasTrack, JAMO Meets SAMO]
-
A.
JAM
JAM is the three-letter ISO 3166-1 alpha-3 country code assigned to Jamaica.
-
B.
JAM
JAM is the Indian Railways station code for Jamnagar railway station in Gujarat, India.
-
C.
Joints & Jam
"Joints & Jam" is a song by the Black Eyed Peas from their debut studio album "Behind the Front."
-
D.
Jam-e Jam
Jam-e Jam is a legendary cup in Persian mythology said to grant its possessor the ability to see all worlds and hidden truths, often associated with the mythical king Jamshid.
-
E.
SAMO
SAMO was the graffiti tag and artistic persona used by Jean-Michel Basquiat in late-1970s New York City, known for its cryptic, poetic street art.
- 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: JAMO Meets SAMO Triple: [Soundtrack to Human Motion, hasTrack, JAMO Meets SAMO]
Generated description
"JAMO Meets SAMO" is a musical track featured on the album "Soundtrack to Human Motion," likely contributing to its contemporary jazz and experimental sound.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: JAMO Meets SAMO Target entity description: "JAMO Meets SAMO" is a musical track featured on the album "Soundtrack to Human Motion," likely contributing to its contemporary jazz and experimental sound.
-
A.
JAM
JAM is the three-letter ISO 3166-1 alpha-3 country code assigned to Jamaica.
-
B.
JAM
JAM is the Indian Railways station code for Jamnagar railway station in Gujarat, India.
-
C.
Joints & Jam
"Joints & Jam" is a song by the Black Eyed Peas from their debut studio album "Behind the Front."
-
D.
Jam-e Jam
Jam-e Jam is a legendary cup in Persian mythology said to grant its possessor the ability to see all worlds and hidden truths, often associated with the mythical king Jamshid.
-
E.
SAMO
SAMO was the graffiti tag and artistic persona used by Jean-Michel Basquiat in late-1970s New York City, known for its cryptic, poetic street art.
- 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_69ca838967bc8190b46c3c80a2887ea4 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc608946cc8190bed3c340ba303b9c |
completed | April 1, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf89ad0a3c8190a2bcf9a106138835 |
completed | April 3, 2026, 9:34 a.m. |
| NEDg | Description generation | batch_69cf8ac657a48190b01e3f0365105f3c |
completed | April 3, 2026, 9:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf8b8849ec8190915fa087b1b46c18 |
completed | April 3, 2026, 9:42 a.m. |
Created at: March 30, 2026, 6:48 p.m.