Triple
T1086554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | César Award for Best Actor |
E24063
|
entity |
| Predicate | hasCeremonyBroadcastOn |
P16403
|
FINISHED |
| Object | French television |
—
|
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 television | Statement: [César Award for Best Actor, hasCeremonyBroadcastOn, French television]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCeremonyBroadcastOn Context triple: [César Award for Best Actor, hasCeremonyBroadcastOn, French television]
-
A.
ceremonyBroadcastOn
Indicates that a particular ceremony is broadcast or aired on a specified channel, platform, or medium.
-
B.
awardCeremonyBroadcastOn
chosen
Indicates that an award ceremony event is broadcast or aired on a particular channel, platform, or medium.
-
C.
ceremonyHeld
Indicates that a formal ceremony or ritual event has taken place at a particular time and/or location.
-
D.
hasBroadcastCoverageIn
Indicates that a broadcast (such as a TV or radio program, channel, or signal) is available or transmitted within a specified geographic area or region.
-
E.
ceremonyHeldOn
Indicates that a specific ceremony took place on a particular date or day.
- 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_69a49404428c819092dcc9632f5f7b8b |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b963161081908a523c8d63871652 |
completed | March 1, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69a4b7407914819092ed933a7316b450 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.