Triple
T22996480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sugar Children |
E572207
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Sugar Children |
—
|
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: Sugar Children | Statement: [Sugar Children, title, Sugar Children]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sugar Children Context triple: [Sugar Children, title, Sugar Children]
-
A.
Sugar Children
chosen
Sugar Children is a photographic series by Brazilian artist Vik Muniz in which he creates and documents portraits of Caribbean children using granulated sugar as his primary medium.
-
B.
Sweet Children
Sweet Children was the original name of the American punk rock band Green Day during their early years in the late 1980s.
-
C.
For the Children
"For the Children" is a studio album by British singer-songwriter and poet Labi Siffre, showcasing his introspective lyrics and soulful, folk-influenced sound.
-
D.
Goodbye to Childhood
"Goodbye to Childhood" is a song from the 1963 jazz album *Speak Like a Child* by trumpeter and composer Freddie Hubbard.
-
E.
Everyone’s Child
Everyone’s Child is a Zimbabwean drama film that portrays the struggles of orphaned siblings amid poverty and social upheaval.
- 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_69e245b535808190adef8a9df3c584db |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182f3186c81909e0d5177029a72ae |
completed | April 29, 2026, 4:02 a.m. |
Created at: April 17, 2026, 3:50 p.m.