Triple
T34554652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosie Dunne |
E887168
|
entity |
| Predicate | hasLifelongFriendshipWith |
P57640
|
FINISHED |
| Object | Alex Stewart |
—
|
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: Alex Stewart | Statement: [Rosie Dunne, hasLifelongFriendshipWith, Alex Stewart]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLifelongFriendshipWith Context triple: [Rosie Dunne, hasLifelongFriendshipWith, Alex Stewart]
-
A.
childhoodFriend
chosen
Indicates that two people were close friends during their childhood period.
-
B.
haveRelationshipWith
Indicates that one entity is in some form of defined relationship or association with another entity.
-
C.
hasFriendship
Indicates a mutual, positive social relationship of friendship existing between two entities.
-
D.
hasFriendshipPactWith
Indicates a mutual agreement or bond of friendship established between two entities.
-
E.
inRelationshipWith
Indicates that two entities are mutually involved in a defined personal, romantic, or partnership relationship with each other.
- 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_69f349cff89081908f91e0b064f4833e |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fe7bfc94bc81909eeec946e8c1c450 |
completed | May 9, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69fe7b74a1188190886f128e07f712da |
completed | May 9, 2026, 12:10 a.m. |
Created at: May 1, 2026, 2:02 a.m.