Triple
T21798676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kids |
E538173
|
entity |
| Predicate | hasMusicVideo |
P3287
|
FINISHED |
| Object | Kids (music video) |
—
|
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 (music video) | Statement: [Kids, hasMusicVideo, Kids (music video)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kids (music video) Context triple: [Kids, hasMusicVideo, Kids (music video)]
-
A.
Kids
Kids is a family-friendly programming section of the Sundance Film Festival that showcases films suitable for children and young audiences.
-
B.
Kids
"Kids" is a pop duet by Robbie Williams and Kylie Minogue, released in 2000 and known for its playful lyrics and energetic production.
-
C.
Kids
Kids is a controversial 1995 independent drama film that starkly portrays the lives of sexually active, drug-using teenagers in New York City.
-
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.
Kidz
"Kidz" is a song by the British pop group Take That, released as a single from their 2010 album "Progress."
- 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_69e0c4733f4081909a86622e7e6d15d2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f077fd59048190ae4e50f4aee919e7 |
completed | April 28, 2026, 9:03 a.m. |
Created at: April 16, 2026, 6:53 p.m.