Triple
T12219662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frances de la Tour |
E291177
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Big School
Big School is a British television sitcom starring Frances de la Tour, set in a dysfunctional secondary school and centered on the comedic antics of its staff and students.
|
E969196
|
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: Big School | Statement: [Frances de la Tour, notableWork, Big School]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Big School Context triple: [Frances de la Tour, notableWork, Big School]
-
A.
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.
-
B.
So High School
"So High School" is a song by Taylor Swift from her album "The Tortured Poets Department."
-
C.
Night School
Night School is a 2018 American comedy film starring Kevin Hart as an adult returning to school to earn his GED, leading to a series of humorous misadventures.
-
D.
Night School
"Night School" is a thriller novel by Lee Child featuring his iconic character Jack Reacher in a prequel set during his military career.
-
E.
After School
"After School" is a track featured on the K-pop album "G.O.A.T." by the group Apink.
- 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: Big School Triple: [Frances de la Tour, notableWork, Big School]
Generated description
Big School is a British television sitcom starring Frances de la Tour, set in a dysfunctional secondary school and centered on the comedic antics of its staff and students.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Big School Target entity description: Big School is a British television sitcom starring Frances de la Tour, set in a dysfunctional secondary school and centered on the comedic antics of its staff and students.
-
A.
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.
-
B.
So High School
"So High School" is a song by Taylor Swift from her album "The Tortured Poets Department."
-
C.
Night School
Night School is a 2018 American comedy film starring Kevin Hart as an adult returning to school to earn his GED, leading to a series of humorous misadventures.
-
D.
Night School
"Night School" is a thriller novel by Lee Child featuring his iconic character Jack Reacher in a prequel set during his military career.
-
E.
After School
"After School" is a track featured on the K-pop album "G.O.A.T." by the group Apink.
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c951f5881908db6edfda1153d6f |
completed | April 10, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60aa4f4388190a787dde12190c51a |
completed | May 2, 2026, 2:31 p.m. |
| NEDg | Description generation | batch_69f60bdca250819090b4b4cc84d343f4 |
completed | May 2, 2026, 2:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60cd1668881908f43d895fcfba0aa |
completed | May 2, 2026, 2:40 p.m. |
Created at: April 8, 2026, 9:51 p.m.