Triple
T23545352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pegasus |
E577876
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Love Scars 4 |
—
|
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: Love Scars 4 | Statement: [Pegasus, hasTrack, Love Scars 4]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Love Scars 4 Context triple: [Pegasus, hasTrack, Love Scars 4]
-
A.
Love Scars
chosen
Love Scars is a breakout emo-rap song by Trippie Redd that blends melodic vocals with introspective, heartbreak-centered lyrics.
-
B.
Love Scars
"Love Scars" is a hip-hop track by Chicago rapper Brian Fresco, showcasing his melodic style and introspective lyricism.
-
C.
Love 2
Love 2 is a 2009 studio album by the French electronic music duo Air, known for its atmospheric, synth-driven soundscapes.
-
D.
Scars & Stories
Scars & Stories is the third studio album by American rock band The Fray, showcasing their piano-driven alternative rock sound and introspective songwriting.
-
E.
Scars
"Scars" is a soulful, emotionally charged song by British singer-songwriter James Bay that reflects on vulnerability, healing, and the lingering impact of past relationships.
- 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_69e245f9d5d08190a4a20004e1784e20 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1aeca3a408190899989fc8175e9c5 |
completed | April 29, 2026, 7:10 a.m. |
Created at: April 17, 2026, 6:11 p.m.