Triple
T27046728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olivier Guichard |
E684654
|
entity |
| Predicate | wasDeputyIn |
P161796
|
FINISHED |
| Object | National Assembly of France |
—
|
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: National Assembly of France | Statement: [Olivier Guichard, wasDeputyIn, National Assembly of France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasDeputyIn Context triple: [Olivier Guichard, wasDeputyIn, National Assembly of France]
-
A.
deputyOf
Indicates that one entity serves as the subordinate or second-in-command to another, acting with delegated authority on their behalf.
-
B.
mayHaveDeputy
Indicates that an entity is allowed or entitled to have another entity serving as its deputy or subordinate representative.
-
C.
hasDeputyLeaderTitle
Indicates that an entity holds a specific title associated with the role of deputy leader.
-
D.
wasInGovernmentWith
Indicates that two individuals served together within the same government or administration during an overlapping period.
-
E.
hasDeputeLeader
Indicates that an entity serves as the deputy leader (second-in-command) of another entity.
- F. None of above. chosen
Provenance (4 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_69ef148193c48190bb1a0cfae6a407c4 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f622abdfac8190988421c946411d7e |
completed | May 2, 2026, 4:13 p.m. |
| PD | Predicate disambiguation | batch_69f61b3ee7b08190a0a1bc5d26b757aa |
completed | May 2, 2026, 3:41 p.m. |
| PDg | Predicate description generation | batch_69f61f109ef48190873bfe18638d2046 |
completed | May 2, 2026, 3:58 p.m. |
Created at: April 27, 2026, 8:10 a.m.