Triple
T9670489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dave Foley |
E234011
|
entity |
| Predicate | appearedIn |
P795
|
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: [Dave Foley, appearedIn, Sky High]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sky High Context triple: [Dave Foley, appearedIn, 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.
Down High School
Down High School is a co-educational grammar school in Downpatrick, Northern Ireland, known for its strong academic performance and long-established history in the region.
-
D.
Hollywood Heights
Hollywood Heights is a hillside residential neighborhood in central Los Angeles known for its winding streets, historic homes, and close proximity to the Hollywood Bowl and Hollywood Boulevard.
-
E.
Aim High
"Aim High" is a song by John Legend from his R&B album *Love in the Future*.
- 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_69ca848f55e48190b3f67252571c3d45 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9c3ec17081908c2da74a1d1f49da |
completed | April 1, 2026, 10:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18a247ca48190910624dfbf0b491d |
completed | April 4, 2026, 10:01 p.m. |
Created at: March 30, 2026, 8:15 p.m.