Triple
T20369908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Watterson |
E497022
|
entity |
| Predicate | subjectOf |
P38
|
FINISHED |
| Object | documentary film "Dear Mr. Watterson" |
—
|
NE NERFINISHED |
How this triple was built (3 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: documentary film "Dear Mr. Watterson" | Statement: [Bill Watterson, subjectOf, documentary film "Dear Mr. Watterson"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: documentary film "Dear Mr. Watterson" Context triple: [Bill Watterson, subjectOf, documentary film "Dear Mr. Watterson"]
-
A.
documentary film "Howard"
"Howard" is a documentary film that explores the life, creative legacy, and untimely death of lyricist Howard Ashman, best known for his work on Disney classics like The Little Mermaid, Beauty and the Beast, and Aladdin.
-
B.
documentary film "Frank and Ollie"
"Frank and Ollie" is a documentary film that explores the lives, friendship, and influential animation careers of Disney legends Frank Thomas and Ollie Johnston.
-
C.
documentary "Good Night Oppy"
"Good Night Oppy" is a documentary film that chronicles NASA’s Mars rover Opportunity, its groundbreaking mission on the Red Planet, and the emotional bond it inspired among the scientists and engineers who operated it.
-
D.
documentary film "Turn Every Page"
"Turn Every Page" is a documentary film that explores the decades-long working relationship between biographer Robert A. Caro and his editor Robert Gottlieb as they labor over Caro’s monumental books.
-
E.
Documentary Now!
Documentary Now! is a satirical television series that parodies famous documentary films and styles, co-created by and starring comedian Bill Hader.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: documentary film "Dear Mr. Watterson" Target entity description: "Dear Mr. Watterson" is a documentary film exploring the cultural impact, legacy, and devoted fanbase of Bill Watterson’s beloved comic strip "Calvin and Hobbes."
-
A.
documentary film "Howard"
"Howard" is a documentary film that explores the life, creative legacy, and untimely death of lyricist Howard Ashman, best known for his work on Disney classics like The Little Mermaid, Beauty and the Beast, and Aladdin.
-
B.
documentary film "Frank and Ollie"
"Frank and Ollie" is a documentary film that explores the lives, friendship, and influential animation careers of Disney legends Frank Thomas and Ollie Johnston.
-
C.
documentary "Good Night Oppy"
"Good Night Oppy" is a documentary film that chronicles NASA’s Mars rover Opportunity, its groundbreaking mission on the Red Planet, and the emotional bond it inspired among the scientists and engineers who operated it.
-
D.
documentary film "Turn Every Page"
"Turn Every Page" is a documentary film that explores the decades-long working relationship between biographer Robert A. Caro and his editor Robert Gottlieb as they labor over Caro’s monumental books.
-
E.
Documentary Now!
Documentary Now! is a satirical television series that parodies famous documentary films and styles, co-created by and starring comedian Bill Hader.
- F. None of above. chosen
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_69e0b4a4f9b081908a5a021919c21ccb |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6787454a88190ae87d9b3c9b5ad27 |
completed | April 20, 2026, 7:03 p.m. |
Created at: April 16, 2026, 11:26 a.m.