Triple
T21002170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrea Anders |
E517319
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Class |
—
|
NE NERFINISHED |
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: The Class | Statement: [Andrea Anders, notableWork, The Class]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Class Context triple: [Andrea Anders, notableWork, The Class]
-
A.
The Class
chosen
The Class is an American television sitcom that follows a group of former third-grade classmates who reconnect as adults, known in part for featuring actress Lucy Punch among its ensemble cast.
-
B.
The New Class
The New Class is a political critique by Milovan Đilas that analyzes the rise of a privileged bureaucratic elite in communist societies.
-
C.
In School
In School is a non-fiction book by former NHL goaltender and Canadian politician Ken Dryden that examines the challenges and possibilities of the modern education system.
-
D.
A Teacher
A Teacher is a 2013 drama film and later television miniseries that explores the illicit relationship between a high school teacher and her student.
-
E.
I School
The I School is the School of Information at the University of California, Berkeley, specializing in the study and design of information, data, and technology in their social context.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b5006e2881909fc2383f841740cc |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc25c1f8819086bdbfd89d390f5f |
completed | April 21, 2026, 4:25 a.m. |
Created at: April 16, 2026, 1:52 p.m.