Triple
T1255645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Short Cuts Awards |
E26983
|
entity |
| Predicate | followsSection |
P21351
|
FINISHED |
| Object | Short Cuts programme |
E26990
|
NE FINISHED |
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: Short Cuts programme | Statement: [Short Cuts Awards, followsSection, Short Cuts programme]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Short Cuts programme Context triple: [Short Cuts Awards, followsSection, Short Cuts programme]
-
A.
Short Cuts
chosen
Short Cuts is a Toronto International Film Festival program showcasing a curated selection of international and Canadian short films across genres and styles.
-
B.
Short Cuts Awards
Short Cuts Awards are honors presented at the Toronto International Film Festival recognizing outstanding achievements in short filmmaking.
-
C.
The Final Programme
The Final Programme is a 1973 British science fiction film, based on Michael Moorcock’s novel, known for its surreal, dystopian style and starring actors including Sterling Hayden.
-
D.
Cuts (TV series)
Cuts is an American sitcom that aired on UPN in the mid-2000s, focusing on the comedic ups and downs of running a family-owned barbershop in Baltimore.
-
E.
Digital Short
Digital Short is a series of pre-recorded comedic video segments that became a signature part of Saturday Night Live, often featuring experimental sketches, music videos, and celebrity cameos.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsSection Context triple: [Short Cuts Awards, followsSection, Short Cuts programme]
-
A.
follows
Indicates that one entity comes after, moves behind, or acts in accordance with another entity in time, space, or sequence.
-
B.
followsFrom
Indicates that one fact, event, or state logically or causally results from, is implied by, or comes as a consequence of another.
-
C.
followsInText
chosen
Indicates that one textual element appears immediately or subsequently after another within the same text.
-
D.
followsCharacter
Indicates that one character moves or acts after another character, maintaining a trailing or subsequent position or sequence relative to them.
-
E.
followsStage
Indicates that one stage occurs after and in sequence with another stage in a process or workflow.
- F. None of above.
Provenance (4 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_69a49487a9c48190ba9b05348fd1b53f |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bfa726548190911b4022dc1be3c3 |
completed | March 1, 2026, 10:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac93cb76248190a23acb2e76ecfa8d |
completed | March 7, 2026, 9:08 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6c977c8190a2bf3e8b67a59beb |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:47 p.m.