Triple
T32591399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laura Dern as Lula Pace Fortune |
E833074
|
entity |
| Predicate | awardContextFilm |
P93687
|
FINISHED |
| Object | Palme d'Or-winning film Wild at Heart |
—
|
NE NERFINISHED |
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: Palme d'Or-winning film Wild at Heart | Statement: [Laura Dern as Lula Pace Fortune, awardContextFilm, Palme d'Or-winning film Wild at Heart]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardContextFilm Context triple: [Laura Dern as Lula Pace Fortune, awardContextFilm, Palme d'Or-winning film Wild at Heart]
-
A.
associatedAwardWinningFilm
chosen
Indicates that there is a relationship between an entity and a film with which it is connected, where that film has received an award.
-
B.
awardFestival
Indicates that an entity receives or is granted an award in the context of a festival or festival-related event.
-
C.
oscarAward
Indicates that an entity has received or been honored with an Academy Award (Oscar).
-
D.
nationalFilmAward
Indicates that an entity has received or is associated with a National Film Award, representing official recognition in a national-level film awards system.
-
E.
mostAwardsFilm
Indicates that a film is the one that has received the highest number of awards within a given set or context.
- 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_69f34929ff648190aded9424aa7564ae |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fcc7338120819081cb46547d60f2cb |
completed | May 7, 2026, 5:09 p.m. |
| PD | Predicate disambiguation | batch_69fcc58566a0819082d5ea36e03bf0c6 |
completed | May 7, 2026, 5:01 p.m. |
Created at: May 1, 2026, 1:05 a.m.