Triple
T13997111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Welton Academy |
E336727
|
entity |
| Predicate | hasHeadmaster |
P42656
|
FINISHED |
| Object |
Gale Nolan
Gale Nolan is the strict and traditional headmaster of the fictional Welton Academy in the film "Dead Poets Society."
|
E1075195
|
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: Gale Nolan | Statement: [Welton Academy, hasHeadmaster, Gale Nolan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gale Nolan Context triple: [Welton Academy, hasHeadmaster, Gale Nolan]
-
A.
Gale Hansen
Gale Hansen is an American actor best known for his role as Charlie Dalton in the 1989 film "Dead Poets Society."
-
B.
O’Neil Bell
O’Neil Bell was a Jamaican professional boxer best known for becoming the undisputed cruiserweight world champion in the mid-2000s.
-
C.
Day O’Connor
Day O’Connor is the family name of Sandra Day O’Connor, the first woman to serve as a Justice on the United States Supreme Court.
-
D.
William Nolan
William Nolan is an editor known for his work on editions of classic adventure literature, including "The Mark of Zorro."
-
E.
Kay Bawden
Kay Bawden is a social worker and one of the central adult characters in J.K. Rowling’s novel "The Casual Vacancy," whose professional and personal struggles highlight the book’s themes of class, responsibility, and community conflict.
- 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: Gale Nolan Triple: [Welton Academy, hasHeadmaster, Gale Nolan]
Generated description
Gale Nolan is the strict and traditional headmaster of the fictional Welton Academy in the film "Dead Poets Society."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gale Nolan Target entity description: Gale Nolan is the strict and traditional headmaster of the fictional Welton Academy in the film "Dead Poets Society."
-
A.
Gale Hansen
Gale Hansen is an American actor best known for his role as Charlie Dalton in the 1989 film "Dead Poets Society."
-
B.
O’Neil Bell
O’Neil Bell was a Jamaican professional boxer best known for becoming the undisputed cruiserweight world champion in the mid-2000s.
-
C.
Day O’Connor
Day O’Connor is the family name of Sandra Day O’Connor, the first woman to serve as a Justice on the United States Supreme Court.
-
D.
William Nolan
William Nolan is an editor known for his work on editions of classic adventure literature, including "The Mark of Zorro."
-
E.
Kay Bawden
Kay Bawden is a social worker and one of the central adult characters in J.K. Rowling’s novel "The Casual Vacancy," whose professional and personal struggles highlight the book’s themes of class, responsibility, and community conflict.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2eb68ba88190bfaf10777d607bf3 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc32789e08190be0f1d1685dcc90e |
completed | May 6, 2026, 10:39 p.m. |
| NEDg | Description generation | batch_69fbc6d1048081908fb2e798cbc9902f |
completed | May 6, 2026, 10:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fbc76610008190bd3c7f357666c8db |
completed | May 6, 2026, 10:57 p.m. |
Created at: April 9, 2026, 10:19 p.m.