Triple
T22080792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anne Shirley has a rivalry and later friendship with Gilbert Blythe |
E545642
|
entity |
| Predicate | relationshipTypeStart |
P146883
|
FINISHED |
| Object | rivalry |
—
|
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: rivalry | Statement: [Anne Shirley has a rivalry and later friendship with Gilbert Blythe, relationshipTypeStart, rivalry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipTypeStart Context triple: [Anne Shirley has a rivalry and later friendship with Gilbert Blythe, relationshipTypeStart, rivalry]
-
A.
relationshipType
Indicates the specific kind of relationship that exists between two or more entities.
-
B.
relationshipEnd
Indicates that a previously existing relationship between entities has been terminated or has come to an end.
-
C.
relationshipStartEvent
Indicates the event or point in time at which a particular relationship between entities begins.
-
D.
trackRelationship
Indicates a connection in which one entity monitors, follows, or keeps a record of another entity’s state, behavior, or changes over time.
-
E.
addressesRelationship
Indicates that one entity directs communication, remarks, or attention specifically toward 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_69e11e3523488190badd54b5d580c00d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128b6338481908e6bb0187cdd42af |
completed | April 28, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69e71b20ec50819096ac196c798f8e3c |
completed | April 21, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e7222d208c819098b12c13e31af629 |
completed | April 21, 2026, 7:07 a.m. |
Created at: April 16, 2026, 8:28 p.m.