Triple
T16379501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Class (TV series) |
E397761
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Class |
E12983
|
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 | Statement: [Class (TV series), alsoKnownAs, Class]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Class Context triple: [Class (TV series), alsoKnownAs, Class]
-
A.
Class
chosen
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.
-
B.
CLASS
CLASS is the commonly used acronym for the College of Letters, Arts, and Social Sciences at various universities, encompassing humanities, arts, and social science disciplines.
-
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.
Classe
Classe is a historic coastal area near Ravenna in Italy, renowned for its early Christian monuments and archaeological remains.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e319da3c6c8190a9ccf744996c31e8 |
completed | April 18, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00457751208190b1e3dd6be3c0f363 |
completed | May 10, 2026, 8:44 a.m. |
Created at: April 10, 2026, 5:08 a.m.