Triple
T10143603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skyler Gisondo |
E231645
|
entity |
| Predicate | hasActedIn |
P15620
|
FINISHED |
| Object | Class Rank |
E844669
|
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: Class Rank | Statement: [Skyler Gisondo, hasActedIn, Class Rank]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Class Rank Context triple: [Skyler Gisondo, hasActedIn, Class Rank]
-
A.
Class Rank
chosen
Class Rank is a 2017 American teen romantic comedy film about two high school outsiders who team up to change their school’s ranking system, starring Skyler Gisondo and Olivia Holt.
-
B.
Classe
Classe is a historic coastal area near Ravenna in Italy, renowned for its early Christian monuments and archaeological remains.
-
C.
Rank
Rank is a surname most notably associated with J. Arthur Rank, the influential British industrialist and film producer who founded the Rank Organisation.
-
D.
Clase
Clase is a residential district and community within the City and County of Swansea in South Wales.
-
E.
Klass
Klass is a surname most notably associated with Philip J. Klass, an American journalist and prominent UFO skeptic.
- 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_69ca848364f881908a24366a6feec1db |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdeb28a1708190b46499dbe51a694a |
completed | April 2, 2026, 4:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d3008e56a481908d64077851063dbf |
completed | April 6, 2026, 12:38 a.m. |
Created at: March 30, 2026, 9:07 p.m.