Triple
T2009244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cannes Film Festival Award for Best Actress |
E43653
|
entity |
| Predicate | hasExAequoWinners |
P6983
|
FINISHED |
| Object | sometimes |
—
|
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: sometimes | Statement: [Cannes Film Festival Award for Best Actress, hasExAequoWinners, sometimes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExAequoWinners Context triple: [Cannes Film Festival Award for Best Actress, hasExAequoWinners, sometimes]
-
A.
hasMultipleWinnersPerPositionInLeague
Indicates that, within a given league, a single position can be held or won by more than one winner simultaneously or in the same season.
-
B.
hasSeparateWinnersByLeague
Indicates that winners are determined and recognized separately for each league rather than having a single overall winner.
-
C.
hasTieGame
Indicates that a game or match has ended with both sides having the same score, resulting in no winner.
-
D.
winnerCount
chosen
Indicates the number of entities that are designated as winners in a given context or event.
-
E.
hasWinnerType
Indicates that an entity has a specific type or category of winner associated with it.
- 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_69a88716e9f08190946313fdc949e3cf |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb89be08c81909eb5ea672ea46b2b |
completed | March 7, 2026, 5:33 a.m. |
| PD | Predicate disambiguation | batch_69abb7a03a1c81909ad50d56667db2d5 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:37 p.m.