Triple
T36248350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fort Boyard |
E891724
|
entity |
| Predicate | tvShowOriginalNetwork |
P148043
|
FINISHED |
| Object | Antenne 2 |
—
|
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: Antenne 2 | Statement: [Fort Boyard, tvShowOriginalNetwork, Antenne 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tvShowOriginalNetwork Context triple: [Fort Boyard, tvShowOriginalNetwork, Antenne 2]
-
A.
seriesOriginalNetwork
Indicates the television network on which a series was originally broadcast or first aired.
-
B.
televisionNetworkOfOriginShow
chosen
Indicates the television network on which a show was originally broadcast or first aired.
-
C.
televisionNetworkOfOrigin
Indicates the television network on which a program, series, or content was originally broadcast or first aired.
-
D.
notableSeriesOriginalNetwork
Indicates that the original broadcast network on which a notable series first aired is being specified.
-
E.
networkOfOriginalAiring
Indicates the television network on which a program or episode was originally broadcast.
- 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_69f76e4599108190811532e707d6bc2c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bcccd7988190aa5c931ff347d33c |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:09 p.m.