Triple
T22843954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | You’re Dead! |
E566161
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Ready Err Not
"Ready Err Not" is a track from Flying Lotus's experimental electronic jazz-fusion album "You’re Dead!" that blends intricate rhythms with psychedelic, genre-blurring production.
|
E1557097
|
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: Ready Err Not | Statement: [You’re Dead!, hasTrack, Ready Err Not]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ready Err Not Context triple: [You’re Dead!, hasTrack, Ready Err Not]
-
A.
RDY
RDY is the station code for Doylestown station, a SEPTA Regional Rail terminus in Doylestown, Pennsylvania.
-
B.
Ready
Ready is a 2011 Hindi-language comedy film starring Salman Khan and Asin, known for its lighthearted plot, hit songs, and commercial success.
-
C.
Ready
"Ready" is a song featured on Kelly Clarkson's 2009 pop album *All I Ever Wanted*.
-
D.
Ready
Ready is an R&B EP by British singer Ella Mai that helped establish her mainstream popularity with its smooth, contemporary sound and breakout tracks.
-
E.
Ready
"Ready" is a notable work created by the software company Living Videotext, best known for its early contributions to outliner and productivity software.
- 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: Ready Err Not Triple: [You’re Dead!, hasTrack, Ready Err Not]
Generated description
"Ready Err Not" is a track from Flying Lotus's experimental electronic jazz-fusion album "You’re Dead!" that blends intricate rhythms with psychedelic, genre-blurring production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ready Err Not Target entity description: "Ready Err Not" is a track from Flying Lotus's experimental electronic jazz-fusion album "You’re Dead!" that blends intricate rhythms with psychedelic, genre-blurring production.
-
A.
RDY
RDY is the station code for Doylestown station, a SEPTA Regional Rail terminus in Doylestown, Pennsylvania.
-
B.
Ready
Ready is a 2011 Hindi-language comedy film starring Salman Khan and Asin, known for its lighthearted plot, hit songs, and commercial success.
-
C.
Ready
"Ready" is a song featured on Kelly Clarkson's 2009 pop album *All I Ever Wanted*.
-
D.
Ready
Ready is an R&B EP by British singer Ella Mai that helped establish her mainstream popularity with its smooth, contemporary sound and breakout tracks.
-
E.
Ready
"Ready" is a notable work created by the software company Living Videotext, best known for its early contributions to outliner and productivity software.
- 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_69e245869e188190a196584f36e682da |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e8726d4819095b4d999b4172ff7 |
completed | April 29, 2026, 3:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ba7b750a08190904c11a33ea19cce |
completed | May 18, 2026, 11:58 p.m. |
| NEDg | Description generation | batch_6a0ba84676f8819099e4ad46797387d9 |
completed | May 19, 2026, 12:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ba8fa53a88190a0029d884308ffd6 |
completed | May 19, 2026, 12:04 a.m. |
Created at: April 17, 2026, 3:36 p.m.