Triple
T20268365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nine Track Mind |
E499026
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Left Right Left |
—
|
NE NERFINISHED |
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: Left Right Left | Statement: [Nine Track Mind, hasPart, Left Right Left]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Left Right Left Context triple: [Nine Track Mind, hasPart, Left Right Left]
-
A.
Left Right Left
chosen
"Left Right Left" is a song by Charlie Puth from his debut studio album Nine Track Mind.
-
B.
Facing Left
"Facing Left" is a jazz album by American pianist and composer Jason Moran that showcases his innovative, contemporary approach to the piano trio format.
-
C.
Left & Right
Left & Right is a track featured on the 2000 album "Voodoo" by American R&B artist D'Angelo.
-
D.
Leftside
Leftside is a Jamaican dancehall and reggae artist known for his energetic style and humorous, party-oriented tracks.
-
E.
Turn Left
"Turn Left" is a critically acclaimed episode of the British science fiction series Doctor Who that explores an alternate reality in which companion Donna Noble never meets the Doctor, leading to catastrophic consequences.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e675dbb7ac8190a40c527f2c02ca50 |
completed | April 20, 2026, 6:52 p.m. |
Created at: April 11, 2026, 11:42 p.m.