Triple
T13733154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High Speed Scene |
E329861
|
entity |
| Predicate | hasSong |
P20452
|
FINISHED |
| Object | For the Kids |
E917191
|
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: For the Kids | Statement: [High Speed Scene, hasSong, For the Kids]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: For the Kids Context triple: [High Speed Scene, hasSong, For the Kids]
-
A.
For the Kids
chosen
"For the Kids" is an early independent album by American rap rock band Gym Class Heroes that showcases their formative blend of hip hop, rock, and alternative influences.
-
B.
Golden Kids
Golden Kids was a popular late-1960s Czechoslovak pop vocal trio known for its politically charged context and featuring prominent singer Marta Kubišová.
-
C.
For Wee Folks
"For Wee Folks" is a jazz composition featured on the album *Black Codes (From the Underground)* by trumpeter Wynton Marsalis.
-
D.
Childs Play
Child's Play is a horror film franchise centered on the killer doll Chucky, known for blending slasher violence with dark humor.
-
E.
Next Kids
Next Kids is the children's clothing and accessories line of the British fashion and homeware retailer Next plc.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de0201d3c48190aa306be231a28bc1 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d66cb088190be2621753d0a6740 |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:55 p.m.