Triple
T34129424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Étienne de La Boétie |
E875380
|
entity |
| Predicate | hasFriendshipDocumentedIn |
P181699
|
FINISHED |
| Object | Essais of Michel de Montaigne |
—
|
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: Essais of Michel de Montaigne | Statement: [Étienne de La Boétie, hasFriendshipDocumentedIn, Essais of Michel de Montaigne]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFriendshipDocumentedIn Context triple: [Étienne de La Boétie, hasFriendshipDocumentedIn, Essais of Michel de Montaigne]
-
A.
hasFriendship
Indicates a mutual, positive social relationship of friendship existing between two entities.
-
B.
hasNotableDocument
Indicates that an entity is associated with a document that is considered significant, noteworthy, or of particular importance.
-
C.
haveRelationshipWith
Indicates that one entity is in some form of defined relationship or association with another entity.
-
D.
hasSocialTieWith
Indicates a social relationship or connection exists between two entities, such as friendship, acquaintance, or other interpersonal tie.
-
E.
hasBeenDatedBy
Indicates that one entity has previously been in a romantic or dating relationship with 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_69f349aa33848190a2e6c5e4533c8444 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7805ce6208190ac6dbd9c97989978 |
completed | May 3, 2026, 5:05 p.m. |
| PD | Predicate disambiguation | batch_69f77956ec648190ba4fb7e9d83fd107 |
completed | May 3, 2026, 4:35 p.m. |
| PDg | Predicate description generation | batch_69f7805c25dc8190b9977c561ba15975 |
completed | May 3, 2026, 5:05 p.m. |
Created at: May 1, 2026, 1:53 a.m.