Triple
T22752922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrew VanWyngarden |
E562754
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Kids |
—
|
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: Kids | Statement: [Andrew VanWyngarden, notableSong, Kids]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kids Context triple: [Andrew VanWyngarden, notableSong, Kids]
-
A.
Kids
"Kids" is a pop duet by Robbie Williams and Kylie Minogue, released in 2000 and known for its playful lyrics and energetic production.
-
B.
Kids
Kids is a controversial 1995 independent drama film that starkly portrays the lives of sexually active, drug-using teenagers in New York City.
-
C.
Kids
Kids is a family-friendly programming section of the Sundance Film Festival that showcases films suitable for children and young audiences.
-
D.
Kids
chosen
"Kids" is a psychedelic indie rock song by the American band MGMT, known for its catchy synth-driven melody and nostalgic lyrics about youth.
-
E.
Children Children
"Children Children" is a song featured on the album "London Town" by the British rock band Wings, led by Paul McCartney.
- 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_69e24551ec7881909a9c924dbea155f6 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f179baa85881909140f41f2428cc98 |
completed | April 29, 2026, 3:23 a.m. |
Created at: April 17, 2026, 3:24 p.m.