Triple
T3783548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loud |
E85472
|
entity |
| Predicate | track |
P17929
|
FINISHED |
| Object | S&M |
E388147
|
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: S&M | Statement: [Loud, track, S&M]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: S&M Context triple: [Loud, track, S&M]
-
A.
S&M
chosen
S&M is a song by Rihanna that blends dance-pop and electro influences while exploring themes of sexual dominance and submission.
-
B.
Dominate
The Dominate was the later, more autocratic phase of the Roman Empire characterized by centralized imperial authority, heavier bureaucracy, and a shift away from the earlier, more senatorial Principate system.
-
C.
Sex Machine
Sex Machine is a landmark 1970 live double album by James Brown that showcases his pioneering funk sound and electrifying stage performance.
-
D.
Sexy Beast
Sexy Beast is a 2000 British crime film known for its stylish direction, dark humor, and standout performances, particularly by Ben Kingsley and Ray Winstone.
-
E.
Come to Daddy
Come to Daddy is a 2019 black comedy horror-thriller film starring Elijah Wood as a man who visits his estranged father, only to uncover bizarre and violent secrets.
- 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_69aed937fa8881908208ef3801060826 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee3dc6590819098dda08206206612 |
completed | March 9, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4fb19229c8190a6f0ee4ae7f52dab |
completed | March 14, 2026, 6:07 a.m. |
Created at: March 9, 2026, 3:13 p.m.