Triple
T14350122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bulletproof Wallets |
E355830
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Jealousy |
E189478
|
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: Jealousy | Statement: [Bulletproof Wallets, hasTrack, Jealousy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jealousy Context triple: [Bulletproof Wallets, hasTrack, Jealousy]
-
A.
Jealousy
"Jealousy" is a 1986 R&B single by Club Nouveau known for its smooth production and themes of romantic suspicion and emotional conflict.
-
B.
Jealousy
chosen
"Jealousy" is a melancholic synth-pop song by the Pet Shop Boys, known for its orchestral arrangement and themes of emotional insecurity and romantic suspicion.
-
C.
Jealousy
"Jealousy" is a creative work associated with producer and filmmaker William E. McEuen, known for his contributions to American film and music projects.
-
D.
Jealous
"Jealous" is a popular song by Tanzanian Bongo Flava artist Ali Kiba, known for its catchy melody and themes of love and insecurity.
-
E.
Jealous
"Jealous" is a moody, R&B-infused song by Beyoncé that explores themes of insecurity, betrayal, and emotional vulnerability in a romantic relationship.
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8f4e1e588190bdc7aaf7a2819948 |
completed | April 14, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c4335e481909d4db39b8d25edc9 |
completed | May 8, 2026, 2:36 a.m. |
Created at: April 10, 2026, 1:14 a.m.