Triple
T18995023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LP1 |
E464786
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Karma |
—
|
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: Karma | Statement: [LP1, hasTrack, Karma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karma Context triple: [LP1, hasTrack, Karma]
-
A.
Karma
chosen
"Karma" is a pop song by Taylor Swift from her 2022 album *Midnights*, known for its catchy hook and playful take on the idea of cosmic justice.
-
B.
Karma
"Karma" is a Grammy-winning R&B song by Alicia Keys, known for its soulful vocals and themes of romantic betrayal and retribution.
-
C.
Karma
Karma is an American singer and the daughter of rapper Ludacris, known for her appearances on reality television and social media presence.
-
D.
Karma
Karma is a landmark 1969 spiritual jazz album by saxophonist Pharoah Sanders, renowned for its expansive, meditative compositions and influential role in avant-garde jazz.
-
E.
Karma
"Karma" is a 1986 Indian Hindi-language action drama film directed by Subhash Ghai, known for its patriotic themes and ensemble cast including Anupam Kher, Dilip Kumar, and Anil Kapoor.
- 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_69d8dd01a56c81909694a128c66b21d7 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d680dd2881908a72e732c6b25477 |
completed | April 20, 2026, 7:32 a.m. |
Created at: April 10, 2026, 12:01 p.m.