Triple
T23464884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rust and Bone |
E569076
|
entity |
| Predicate | leadActressAwardRecognition |
P36868
|
FINISHED |
| Object | Marion Cotillard performance widely acclaimed |
—
|
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: Marion Cotillard performance widely acclaimed | Statement: [Rust and Bone, leadActressAwardRecognition, Marion Cotillard performance widely acclaimed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadActressAwardRecognition Context triple: [Rust and Bone, leadActressAwardRecognition, Marion Cotillard performance widely acclaimed]
-
A.
leadingActressNominee
Indicates that a person has been nominated for an award in the leading actress category for a particular work or performance.
-
B.
leadActress
Indicates that the subject is the primary female performer in the specified film, show, or production.
-
C.
leadActorAwarded
Indicates that the person in the lead actor role has received an award for their performance.
-
D.
leadActorNominee
Indicates that an entity was nominated for a lead acting role in relation to a particular work or award.
-
E.
awardRecognitionForPortrayal
chosen
Indicates that recognition or an award is given to someone specifically for their performance or depiction of a particular role or subject.
- 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_69e2458ebd808190b3298163132cfb0b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a6f9e59081909e8cf224ee46109c |
completed | April 29, 2026, 6:36 a.m. |
| PD | Predicate disambiguation | batch_69f06201d33481909b5fd7b92d03e658 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 5:54 p.m.