Triple
T38519575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | César Award for Best Actress – nomination for Kristin Scott Thomas |
E922437
|
entity |
| Predicate | recognizesPerformanceLanguage |
P60621
|
FINISHED |
| Object | French |
—
|
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: French | Statement: [César Award for Best Actress – nomination for Kristin Scott Thomas, recognizesPerformanceLanguage, French]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recognizesPerformanceLanguage Context triple: [César Award for Best Actress – nomination for Kristin Scott Thomas, recognizesPerformanceLanguage, French]
-
A.
performedLanguage
Indicates that an action, work, or performance was carried out using a specified language.
-
B.
hasTypicalPerformanceLanguage
Indicates that an entity is commonly or characteristically expressed, implemented, or described using a particular programming or specification language.
-
C.
recognizedLanguage
Indicates that an entity has identified, detected, or acknowledged a particular language as being used or present.
-
D.
recognisesLanguageAs
Indicates that one entity acknowledges or accepts a particular language as valid, appropriate, or officially recognized in a given context.
-
E.
repertoireLanguage
chosen
Indicates that the associated entity’s repertoire (e.g., works, performances, or outputs) is expressed or available in a particular language.
- 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_69f76ea5f5588190bd0b28c82e975640 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fe0d165a48819098b854318a50d76c |
completed | May 8, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69fe0931002481908a95b34f95e9f64e |
completed | May 8, 2026, 4:02 p.m. |
Created at: May 3, 2026, 4:32 p.m.