Triple
T31405646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Actor for Pelle the Conqueror |
E801117
|
entity |
| Predicate | associatedFilmFestival |
P207422
|
FINISHED |
| Object | Cannes Film Festival |
E2390
|
NE 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: Cannes Film Festival | Statement: [Academy Award for Best Actor for Pelle the Conqueror, associatedFilmFestival, Cannes Film Festival]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedFilmFestival Context triple: [Academy Award for Best Actor for Pelle the Conqueror, associatedFilmFestival, Cannes Film Festival]
-
A.
associatedFilmFestivalSection
Indicates the specific film festival section or program in which a work is included or with which it is formally linked.
-
B.
filmFestivalAwardedAt
Indicates that a particular film festival award was given or presented at a specific film festival event or edition.
-
C.
hasFilmFestival
Indicates that a place, organization, or context hosts, organizes, or is the venue for a film festival.
-
D.
frequentFilmFestival
Indicates that an entity regularly attends or participates in a particular film festival.
-
E.
filmFestivalScreening
Indicates that a film is being shown or presented as part of the official program of a film festival.
- 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_69f348c0dd648190bf2fd7642f78eb06 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2ad2501a8881908aa7970d4d6c05f2 |
completed | June 11, 2026, 3:20 p.m. |
| PD | Predicate disambiguation | batch_6a0379e5174c8190a0bdde7e381b7624 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7ee0388190a29faeb5cdb0950a |
completed | May 12, 2026, 7:16 p.m. |
Created at: April 30, 2026, 8:31 p.m.