Triple
T10390834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Detention |
E244886
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Principal Verge
Principal Verge is a fictional school administrator character who plays a central role in the story of "Detention."
|
E858934
|
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: Principal Verge | Statement: [Detention, mainCharacter, Principal Verge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Principal Verge Context triple: [Detention, mainCharacter, Principal Verge]
-
A.
The Vern
The Vern is the informal name for George Washington University's Mount Vernon Campus in Washington, D.C.
-
B.
VERITAS
VERITAS is a planned NASA Discovery-class mission designed to orbit Venus and map its surface and interior in high detail to better understand the planet’s geology and evolution.
-
C.
VERITAS
VERITAS is a ground-based array of imaging atmospheric Cherenkov telescopes in Arizona designed to detect very high-energy gamma rays from astrophysical sources.
-
D.
VeRa
VeRa is a radio science experiment on the Venus Express spacecraft designed to study Venus’s atmosphere, ionosphere, and gravity field using radio occultation and tracking techniques.
-
E.
Verson
Verson is a commune in the Calvados department of the Normandy region in northwestern France.
- 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: Principal Verge Triple: [Detention, mainCharacter, Principal Verge]
Generated description
Principal Verge is a fictional school administrator character who plays a central role in the story of "Detention."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Principal Verge Target entity description: Principal Verge is a fictional school administrator character who plays a central role in the story of "Detention."
-
A.
The Vern
The Vern is the informal name for George Washington University's Mount Vernon Campus in Washington, D.C.
-
B.
VERITAS
VERITAS is a planned NASA Discovery-class mission designed to orbit Venus and map its surface and interior in high detail to better understand the planet’s geology and evolution.
-
C.
VERITAS
VERITAS is a ground-based array of imaging atmospheric Cherenkov telescopes in Arizona designed to detect very high-energy gamma rays from astrophysical sources.
-
D.
VeRa
VeRa is a radio science experiment on the Venus Express spacecraft designed to study Venus’s atmosphere, ionosphere, and gravity field using radio occultation and tracking techniques.
-
E.
Verson
Verson is a commune in the Calvados department of the Normandy region in northwestern France.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9b4f7d08190bcb16d3b4c8f22ad |
completed | April 7, 2026, 11:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d795b9974c819087340adc3622279e |
completed | April 9, 2026, 12:04 p.m. |
| NEDg | Description generation | batch_69d7985e7fc081909fd1ba1dc6f7338c |
completed | April 9, 2026, 12:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d799917ab881909a947ad8059652c6 |
completed | April 9, 2026, 12:20 p.m. |
Created at: April 6, 2026, 12:06 p.m.