Triple
T2289336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Say Something |
E51466
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object |
Black Magnetic/Epic
Black Magnetic/Epic is a record label imprint associated with the release of the song "Say Something."
|
E252689
|
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: Black Magnetic/Epic | Statement: [Say Something, recordLabel, Black Magnetic/Epic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Black Magnetic/Epic Context triple: [Say Something, recordLabel, Black Magnetic/Epic]
-
A.
Electric Ladyland
Electric Ladyland is the groundbreaking 1968 double album by the Jimi Hendrix Experience, renowned for its innovative studio experimentation and expansive psychedelic rock sound.
-
B.
Milwaukee Deep
Milwaukee Deep is the deepest known point in the Atlantic Ocean, located within the Puerto Rico Trench.
-
C.
Deepcut
Deepcut is a village in Surrey, England, best known for its military connections and the presence of the Princess Royal Barracks.
-
D.
PINK
PINK is a youthful, college-age-focused lingerie and loungewear brand known for its playful, colorful designs and casual lifestyle apparel.
-
E.
A Band Apart
A Band Apart was a film production company co-founded by director Quentin Tarantino, known for producing several of his influential movies in the 1990s and early 2000s.
- 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: Black Magnetic/Epic Triple: [Say Something, recordLabel, Black Magnetic/Epic]
Generated description
Black Magnetic/Epic is a record label imprint associated with the release of the song "Say Something."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Black Magnetic/Epic Target entity description: Black Magnetic/Epic is a record label imprint associated with the release of the song "Say Something."
-
A.
Electric Ladyland
Electric Ladyland is the groundbreaking 1968 double album by the Jimi Hendrix Experience, renowned for its innovative studio experimentation and expansive psychedelic rock sound.
-
B.
Milwaukee Deep
Milwaukee Deep is the deepest known point in the Atlantic Ocean, located within the Puerto Rico Trench.
-
C.
Deepcut
Deepcut is a village in Surrey, England, best known for its military connections and the presence of the Princess Royal Barracks.
-
D.
PINK
PINK is a youthful, college-age-focused lingerie and loungewear brand known for its playful, colorful designs and casual lifestyle apparel.
-
E.
A Band Apart
A Band Apart was a film production company co-founded by director Quentin Tarantino, known for producing several of his influential movies in the 1990s and early 2000s.
- 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_69a88b09c644819090b503456d96bf70 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc273b67c8190bcd96f9a484647ef |
completed | March 7, 2026, 6:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7f1e84ac819096cb62ce5e94d865 |
completed | March 9, 2026, 8:04 a.m. |
| NEDg | Description generation | batch_69ae7fee12ac8190bb9924f7467434a6 |
completed | March 9, 2026, 8:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae8061cd348190b0b0b65dcf730f99 |
completed | March 9, 2026, 8:10 a.m. |
Created at: March 4, 2026, 7:48 p.m.