Triple
T6088428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruff Draft |
E135695
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Reckless Driving
"Reckless Driving" is a song by rapper Ruff Draft, likely showcasing his energetic style and lyrical themes.
|
E566152
|
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: Reckless Driving | Statement: [Ruff Draft, hasTrack, Reckless Driving]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reckless Driving Context triple: [Ruff Draft, hasTrack, Reckless Driving]
-
A.
Reckless
Reckless is a 2010 Indian action film directed by Nav that centers on high-stakes drama and intense, fast-paced sequences.
-
B.
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.
-
C.
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.
-
D.
Accident Prone
"Accident Prone" is a song by the American punk rock band Jawbreaker, known for its emotionally charged lyrics and melodic, introspective style.
-
E.
Moving Violations
Moving Violations is a memoir by John Hockenberry (often associated with publisher John Murray) that recounts his experiences living and working as a journalist with a disability.
- 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: Reckless Driving Triple: [Ruff Draft, hasTrack, Reckless Driving]
Generated description
"Reckless Driving" is a song by rapper Ruff Draft, likely showcasing his energetic style and lyrical themes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Reckless Driving Target entity description: "Reckless Driving" is a song by rapper Ruff Draft, likely showcasing his energetic style and lyrical themes.
-
A.
Reckless
Reckless is a 2010 Indian action film directed by Nav that centers on high-stakes drama and intense, fast-paced sequences.
-
B.
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.
-
C.
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.
-
D.
Accident Prone
"Accident Prone" is a song by the American punk rock band Jawbreaker, known for its emotionally charged lyrics and melodic, introspective style.
-
E.
Moving Violations
Moving Violations is a memoir by John Hockenberry (often associated with publisher John Murray) that recounts his experiences living and working as a journalist with a disability.
- 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_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_69c11d65908c8190a9700c0981dabe9a |
completed | March 23, 2026, 11 a.m. |
| NEDg | Description generation | batch_69c11dfb27bc81908c7109debc73249d |
completed | March 23, 2026, 11:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c11e7a5e7881908d5cc70cc11a58cd |
completed | March 23, 2026, 11:05 a.m. |
Created at: March 22, 2026, 4:12 p.m.