Triple
T18232638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murphy's Law |
E436581
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | The Trackboyz |
—
|
NE NERFINISHED |
How this triple was built (2 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: The Trackboyz | Statement: [Murphy's Law, producer, The Trackboyz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Trackboyz Context triple: [Murphy's Law, producer, The Trackboyz]
-
A.
Trackboyz
chosen
Trackboyz is an American hip hop production duo best known for crafting early-2000s rap hits, including Nelly’s breakout single "Air Force Ones."
-
B.
Wildboyz
Wildboyz is a comedic reality TV series featuring Jackass alumni Steve-O and Chris Pontius traveling the world to perform outrageous stunts and interact with wildlife and local cultures.
-
C.
Boyz
"Boyz" is a popular Punjabi song by Indian singer and lyricist Karan Aujla, known for its catchy beat and street-style lyrics.
-
D.
Boyz
"Boyz" is a song by British singer-songwriter Empress Of, showcasing her distinctive blend of synth-pop and R&B.
-
E.
Jungleboys
Jungleboys is a film and television production company known for creating offbeat, character-driven comedy content.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f4b414308190bc7dd8e73c0a362c |
completed | April 19, 2026, 3:28 p.m. |
Created at: April 10, 2026, 10:33 a.m.