Triple
T2214556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | César Award for Best Music Written for a Film |
E47994
|
entity |
| Predicate | isPartOfEvent |
P9823
|
FINISHED |
| Object | annual César Awards ceremony |
—
|
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: annual César Awards ceremony | Statement: [César Award for Best Music Written for a Film, isPartOfEvent, annual César Awards ceremony]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfEvent Context triple: [César Award for Best Music Written for a Film, isPartOfEvent, annual César Awards ceremony]
-
A.
partOfEvent
chosen
Indicates that one entity is a component, segment, or sub-activity that belongs to or occurs within a larger event.
-
B.
participatedInEvent
Indicates that an entity took part in or was actively involved in a specific event.
-
C.
eventIn
Indicates that an event occurs within, or is situated in, a specific location, context, or larger event.
-
D.
event
Indicates that there exists an occurrence or happening involving one or more entities, typically situated in time and possibly space.
-
E.
isPublicEvent
Indicates that an event is open and accessible to the general public rather than restricted to a private or limited audience.
- 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_69a88aa1ee708190862c8c378c41e9eb |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbfef875c8190b642736b4cc11d4c |
completed | March 7, 2026, 6:04 a.m. |
| PD | Predicate disambiguation | batch_69abbdaa26d48190860c33fd464c4845 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:46 p.m.