Triple
T18505976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sybil |
E452197
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Let Yourself Go |
—
|
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: Let Yourself Go | Statement: [Sybil, notableWork, Let Yourself Go]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Let Yourself Go Context triple: [Sybil, notableWork, Let Yourself Go]
-
A.
Let Yourself Go
"Let Yourself Go" is a punk rock song by Green Day from their 2012 album ¡Uno!.
-
B.
Let Yourself Go
"Let Yourself Go" is a studio album by Broadway and television star Kristin Chenoweth, featuring her interpretations of classic songs in a retro, big-band and vocal jazz style.
-
C.
Let Yourself Go
chosen
"Let Yourself Go" is a popular 1936 Irving Berlin song introduced by Ginger Rogers in the Fred Astaire musical film *Follow the Fleet*.
-
D.
To Let Myself Go
"To Let Myself Go" is a melancholic, folk-influenced song by Norwegian singer-songwriter Ane Brun that reflects on vulnerability and emotional release.
-
E.
Let You Go
"Let You Go" is a 2010 drum and bass/electronic single by British production duo Chase & Status featuring vocals from Mali, known for its dark, club-oriented sound and chart success in the UK.
- 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_69d8d386df84819092355ebb260d848e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53341b6c48190b7da42f5df923e81 |
completed | April 19, 2026, 7:55 p.m. |
Created at: April 10, 2026, 11:36 a.m.