Triple
T7357134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holes |
E169653
|
entity |
| Predicate | cinematographer |
P1953
|
FINISHED |
| Object |
Stephen St. John
Stephen St. John is a film cinematographer best known for his work on the 2003 family adventure movie "Holes."
|
E661386
|
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: Stephen St. John | Statement: [Holes, cinematographer, Stephen St. John]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephen St. John Context triple: [Holes, cinematographer, Stephen St. John]
-
A.
Al St. John
Al St. John was an American silent film comedian and actor best known for his slapstick work in early comedies and later as a comic sidekick in Western films.
-
B.
Stewart St. John
Stewart St. John is a television and film writer-producer known for creating and producing genre and drama series, as well as for his work in audio storytelling and digital media.
-
C.
David Tomlinson
David Tomlinson was an English actor best known for his comedic roles in classic Disney films such as "Mary Poppins" and "Bedknobs and Broomsticks."
-
D.
James Massey
James Massey was an American information theorist and cryptographer known for his influential contributions to coding theory and cryptographic algorithms.
-
E.
Matthew Landon
Matthew Landon is a film editor known for his work on the animated feature "Captain Underpants: The First Epic Movie."
- 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: Stephen St. John Triple: [Holes, cinematographer, Stephen St. John]
Generated description
Stephen St. John is a film cinematographer best known for his work on the 2003 family adventure movie "Holes."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stephen St. John Target entity description: Stephen St. John is a film cinematographer best known for his work on the 2003 family adventure movie "Holes."
-
A.
Al St. John
Al St. John was an American silent film comedian and actor best known for his slapstick work in early comedies and later as a comic sidekick in Western films.
-
B.
Stewart St. John
Stewart St. John is a television and film writer-producer known for creating and producing genre and drama series, as well as for his work in audio storytelling and digital media.
-
C.
David Tomlinson
David Tomlinson was an English actor best known for his comedic roles in classic Disney films such as "Mary Poppins" and "Bedknobs and Broomsticks."
-
D.
James Massey
James Massey was an American information theorist and cryptographer known for his influential contributions to coding theory and cryptographic algorithms.
-
E.
Matthew Landon
Matthew Landon is a film editor known for his work on the animated feature "Captain Underpants: The First Epic Movie."
- 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_69c68a59f2288190877ca15c19b1e822 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f13a62e48190a2d1781a630aa9f0 |
completed | March 27, 2026, 9:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c810d4b8e88190997b2a09ca5df838 |
completed | March 28, 2026, 5:33 p.m. |
| NEDg | Description generation | batch_69c811e0ebec8190b394b1a2ff6ac5bf |
completed | March 28, 2026, 5:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8127599188190af3d049a0c6dd349 |
completed | March 28, 2026, 5:40 p.m. |
Created at: March 27, 2026, 3:06 p.m.