Triple
T7712261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nebraska |
E174787
|
entity |
| Predicate | cannesSection |
P44901
|
FINISHED |
| Object | Competition |
—
|
LITERAL FINISHED |
How this triple was built (2 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: Competition | Statement: [Nebraska, cannesSection, Competition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cannesSection Context triple: [Nebraska, cannesSection, Competition]
-
A.
associatedFilmFestivalSection
chosen
Indicates the specific film festival section or program in which a work is included or with which it is formally linked.
-
B.
cannesYearInCompetition
Indicates that a film was selected to compete in the main competition at the Cannes Film Festival in a specific year.
-
C.
premiereFestival
Indicates that a work had its first public showing or debut at a particular festival.
-
D.
filmFestivalAwardedAt
Indicates that a particular film festival award was given or presented at a specific film festival event or edition.
-
E.
inceptionFestival
Indicates the event at which something, such as a work or project, was first introduced or premiered at a festival.
- F. None of above.
Provenance (3 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_69c6995c463c8190a14458036249d419 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702ebb7448190ae8d47fe0cbb0907 |
completed | March 27, 2026, 10:21 p.m. |
| PD | Predicate disambiguation | batch_69c701683dec8190be9861e592aa8ce0 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:04 p.m.