Triple
T16671818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colors |
E405121
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
No Distraction
"No Distraction" is a track by the American rock band The Strokes, known for its catchy guitar-driven sound and introspective lyrics.
|
E1226890
|
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: No Distraction | Statement: [Colors, hasTrack, No Distraction]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: No Distraction Context triple: [Colors, hasTrack, No Distraction]
-
A.
Distractions
"Distractions" is a song by the band Simple Things, likely featuring their characteristic style and themes.
-
B.
Do Not Disturb
Do Not Disturb is a macOS feature that temporarily silences notifications and alerts to minimize interruptions.
-
C.
Do Not Disturb
Do Not Disturb is a 2012 French comedy film directed by and starring Yvan Attal, with François Cluzet in a leading role.
-
D.
Don’t Dull
Don’t Dull is a popular Afrobeat single by Nigerian artist Wizkid that helped solidify his early mainstream success.
-
E.
Unbothered
"Unbothered" is a high-energy rap track by Ski Mask the Slump God known for his rapid-fire flow, playful wordplay, and eccentric delivery.
- 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: No Distraction Triple: [Colors, hasTrack, No Distraction]
Generated description
"No Distraction" is a track by the American rock band The Strokes, known for its catchy guitar-driven sound and introspective lyrics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: No Distraction Target entity description: "No Distraction" is a track by the American rock band The Strokes, known for its catchy guitar-driven sound and introspective lyrics.
-
A.
Distractions
"Distractions" is a song by the band Simple Things, likely featuring their characteristic style and themes.
-
B.
Do Not Disturb
Do Not Disturb is a macOS feature that temporarily silences notifications and alerts to minimize interruptions.
-
C.
Do Not Disturb
Do Not Disturb is a 2012 French comedy film directed by and starring Yvan Attal, with François Cluzet in a leading role.
-
D.
Don’t Dull
Don’t Dull is a popular Afrobeat single by Nigerian artist Wizkid that helped solidify his early mainstream success.
-
E.
Unbothered
"Unbothered" is a high-energy rap track by Ski Mask the Slump God known for his rapid-fire flow, playful wordplay, and eccentric delivery.
- 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ca175088190a0435422e13278c2 |
completed | April 18, 2026, 12:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a3916508190bd5edd91310ddb5a |
completed | May 10, 2026, 1:38 p.m. |
| NEDg | Description generation | batch_6a008b001c988190b0ddec3be0ed6fd0 |
completed | May 10, 2026, 1:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a008b9a8b6481909df37edcecdd292c |
completed | May 10, 2026, 1:43 p.m. |
Created at: April 10, 2026, 5:18 a.m.