Triple
T16037959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Break My Body |
E389015
|
entity |
| Predicate | followsInTrackList |
P134
|
FINISHED |
| Object | Bone Machine |
E433018
|
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: Bone Machine | Statement: [Break My Body, followsInTrackList, Bone Machine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bone Machine Context triple: [Break My Body, followsInTrackList, Bone Machine]
-
A.
Bone Machine
"Bone Machine" is the opening track of the Pixies' influential 1988 album *Surfer Rosa*, known for its raw sound and surreal, fragmented lyrics.
-
B.
Bone Machine
chosen
Bone Machine is a critically acclaimed 1992 album by Tom Waits known for its dark, percussive sound and apocalyptic, death-obsessed themes.
-
C.
This Machine
"This Machine" is a 2012 studio album by American alternative rock band The Dandy Warhols, noted for its darker, more stripped-down sound compared to their earlier work.
-
D.
Machina
Machina is a local government area and town in northeastern Nigeria’s Yobe State, near the border with Niger.
-
E.
The Machine
The Machine is a powerful, clandestine artificial superintelligence from the TV series "Person of Interest" that predicts violent crimes by analyzing global surveillance data.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1833da68881908710fb2c28e8c6d0 |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe474f89c819086db832b793c15ed |
completed | May 10, 2026, 1:50 a.m. |
Created at: April 10, 2026, 4:56 a.m.