Triple
T16847475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sky High |
E409581
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Sky High |
E409581
|
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: Sky High | Statement: [Sky High, title, Sky High]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sky High Context triple: [Sky High, title, Sky High]
-
A.
Sky High
chosen
Sky High is a 2005 family-friendly superhero comedy film about a high school for teenage heroes, starring Kurt Russell.
-
B.
So High School
"So High School" is a song by Taylor Swift from her album "The Tortured Poets Department."
-
C.
Mad High
"Mad High" is a track by 21 Savage and Metro Boomin from their collaborative trap album *Savage Mode*.
-
D.
Britannia High
Britannia High is a British musical drama television series centered on the lives and ambitions of students at a performing arts school.
-
E.
Kooley High
Kooley High is a North Carolina-based hip hop group known for its soulful, jazz-influenced sound and for helping launch the career of rapper Rapsody.
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b376bac48190ae09f29a28c55f8c |
completed | April 18, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb1d555c8190883c82e562b7bfe9 |
completed | May 10, 2026, 5:06 p.m. |
Created at: April 10, 2026, 5:24 a.m.