Triple
T6088455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruff Draft |
E135695
|
entity |
| Predicate | hasNotableTrack |
P8087
|
FINISHED |
| Object | Reckless Driving |
E566152
|
NE FINISHED |
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: Reckless Driving | Statement: [Ruff Draft, hasNotableTrack, Reckless Driving]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reckless Driving Context triple: [Ruff Draft, hasNotableTrack, Reckless Driving]
-
A.
Reckless Driving
chosen
"Reckless Driving" is a song by rapper Ruff Draft, likely showcasing his energetic style and lyrical themes.
-
B.
Reckless
Reckless is a 2010 Indian action film directed by Nav that centers on high-stakes drama and intense, fast-paced sequences.
-
C.
Loss of Control
"Loss of Control" is a card from the ¡Uno! game that alters normal play by disrupting players’ ability to manage or predict their hands.
-
D.
DUI
DUI is the abbreviation commonly used for the U.S. Army’s distinctive unit insignia, the emblem that uniquely identifies each military unit.
-
E.
Hit and Run
Hit and Run is a segment of the film "Mistaken Identity," likely centered on a crime or accident involving a driver who flees the scene.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c0087bcc788190b20f093d3a6c60ec |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c057a6f7588190b265d6005fbaf6b3 |
completed | March 22, 2026, 8:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c12531d764819083e1bb37d8c81a6c |
completed | March 23, 2026, 11:34 a.m. |
Created at: March 22, 2026, 4:12 p.m.