Triple
T37095953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Three Colors: Red |
E918561
|
entity |
| Predicate | cannesCompetitionStatus |
P187138
|
FINISHED |
| Object | In 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: In Competition | Statement: [Three Colors: Red, cannesCompetitionStatus, In Competition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cannesCompetitionStatus Context triple: [Three Colors: Red, cannesCompetitionStatus, In Competition]
-
A.
cannesYearInCompetition
Indicates that a film was selected to compete in the main competition at the Cannes Film Festival in a specific year.
-
B.
oscarSubmissionStatus
Indicates the status of an entity’s submission in relation to the Oscars, such as whether it has been submitted, accepted, rejected, or is pending.
-
C.
festivalStatus
Indicates the current state or condition of a festival, such as whether it is planned, ongoing, postponed, or completed.
-
D.
cannesFilmFestivalAward
Indicates that an entity has received an award presented at the Cannes Film Festival.
-
E.
filmStatus
Indicates the current production, release, or availability state of a film (e.g., announced, in production, released, cancelled).
- F. None of above. chosen
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_69f76e9a48bc8190a3947508d8bca408 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb344c60f8819090f2e21e1e61d621 |
completed | May 6, 2026, 12:30 p.m. |
| PD | Predicate disambiguation | batch_69fb2f642db08190b562725502c74ea6 |
completed | May 6, 2026, 12:09 p.m. |
| PDg | Predicate description generation | batch_69fb344ba5408190a6fe8face293d88b |
completed | May 6, 2026, 12:30 p.m. |
Created at: May 3, 2026, 4:14 p.m.