Triple
T10143584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skyler Gisondo |
E231645
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Class Rank
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.
|
E844669
|
NE FINISHED |
How this triple was built (4 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, notableWork, Class Rank]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Class Rank Context triple: [Skyler Gisondo, notableWork, Class Rank]
-
A.
Classe
Classe is a historic coastal area near Ravenna in Italy, renowned for its early Christian monuments and archaeological remains.
-
B.
Rank
Rank is a surname most notably associated with J. Arthur Rank, the influential British industrialist and film producer who founded the Rank Organisation.
-
C.
Clase
Clase is a residential district and community within the City and County of Swansea in South Wales.
-
D.
Klass
Klass is a surname most notably associated with Philip J. Klass, an American journalist and prominent UFO skeptic.
-
E.
Class
Class is a British science fiction television series set in the Doctor Who universe, focusing on a group of students at Coal Hill Academy who face alien threats and personal challenges.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Class Rank Triple: [Skyler Gisondo, notableWork, Class Rank]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Class Rank Target entity description: 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.
-
A.
Classe
Classe is a historic coastal area near Ravenna in Italy, renowned for its early Christian monuments and archaeological remains.
-
B.
Rank
Rank is a surname most notably associated with J. Arthur Rank, the influential British industrialist and film producer who founded the Rank Organisation.
-
C.
Clase
Clase is a residential district and community within the City and County of Swansea in South Wales.
-
D.
Klass
Klass is a surname most notably associated with Philip J. Klass, an American journalist and prominent UFO skeptic.
-
E.
Class
Class is a British science fiction television series set in the Doctor Who universe, focusing on a group of students at Coal Hill Academy who face alien threats and personal challenges.
- F. None of above. chosen
Provenance (5 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_69d2e618b0bc8190bc1d6f15dac2708e |
completed | April 5, 2026, 10:45 p.m. |
| NEDg | Description generation | batch_69d2e866cc4881909b5f4d1502a69885 |
completed | April 5, 2026, 10:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2e91061248190a7f9022c26daba0e |
completed | April 5, 2026, 10:58 p.m. |
Created at: March 30, 2026, 9:07 p.m.