Triple
T14600747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Testing |
E342695
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
track "OG Beeper"
"OG Beeper" is a track likely characterized by a retro, beeper-inspired sound and hip-hop or electronic influences.
|
E1108797
|
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: track "OG Beeper" | Statement: [Testing, hasPart, track "OG Beeper"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: track "OG Beeper" Context triple: [Testing, hasPart, track "OG Beeper"]
-
A.
track "Hood Boy"
"Hood Boy" is a song by American singer Fantasia from her self-titled second studio album, blending R&B and hip-hop influences.
-
B.
BEEP
BEEP (Blocks Extensible Exchange Protocol) is a generic application protocol framework that provides a standardized way to structure and manage asynchronous, message-oriented communications over a network.
-
C.
Beep
"Beep" is a song by American singer-songwriter Ant Clemons, known for its smooth R&B style and emotive vocals.
-
D.
track "Stomp Da Roach"
"Stomp Da Roach" is a gritty, hard-hitting hip-hop track by Wu-Tang Clan member U-God from his album "Dopium."
-
E.
Beez
"Beez" is a song by Kid Cudi from his 2013 album *Indicud*, featuring a guest verse from rapper RZA.
- 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: track "OG Beeper" Triple: [Testing, hasPart, track "OG Beeper"]
Generated description
"OG Beeper" is a track likely characterized by a retro, beeper-inspired sound and hip-hop or electronic influences.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: track "OG Beeper" Target entity description: "OG Beeper" is a track likely characterized by a retro, beeper-inspired sound and hip-hop or electronic influences.
-
A.
track "Hood Boy"
"Hood Boy" is a song by American singer Fantasia from her self-titled second studio album, blending R&B and hip-hop influences.
-
B.
BEEP
BEEP (Blocks Extensible Exchange Protocol) is a generic application protocol framework that provides a standardized way to structure and manage asynchronous, message-oriented communications over a network.
-
C.
Beep
"Beep" is a song by American singer-songwriter Ant Clemons, known for its smooth R&B style and emotive vocals.
-
D.
track "Stomp Da Roach"
"Stomp Da Roach" is a gritty, hard-hitting hip-hop track by Wu-Tang Clan member U-God from his album "Dopium."
-
E.
Beez
"Beez" is a song by Kid Cudi from his 2013 album *Indicud*, featuring a guest verse from rapper RZA.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb438748081908020ce04b869866a |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94cc9fbc819090ae4efe9bc618aa |
completed | May 8, 2026, 7:46 a.m. |
| NEDg | Description generation | batch_69fd973985b881908f0c2fd201db8104 |
completed | May 8, 2026, 7:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd9843857c819089eb96564b8a9503 |
completed | May 8, 2026, 8:01 a.m. |
Created at: April 10, 2026, 1:25 a.m.