Triple
T38458337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vivie Warren |
E912380
|
entity |
| Predicate | rejectsRomanticRelationshipWith |
P36858
|
FINISHED |
| Object | Frank Gardner |
—
|
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: Frank Gardner | Statement: [Vivie Warren, rejectsRomanticRelationshipWith, Frank Gardner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rejectsRomanticRelationshipWith Context triple: [Vivie Warren, rejectsRomanticRelationshipWith, Frank Gardner]
-
A.
refusedMarriageProposalFrom
Indicates that one entity declined or rejected a marriage proposal made by another entity.
-
B.
breaksUpWith
chosen
Indicates that one entity ends a romantic or intimate relationship with another entity.
-
C.
breaksFriendshipWith
Indicates that one entity ends or severs a friendship relationship with another entity.
-
D.
rejectedBy
Indicates that one entity has been refused, dismissed, or not accepted by another entity.
-
E.
disapprovedOf
Indicates that one entity holds a negative judgment or lack of approval toward another entity or that entity’s actions.
- 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_69f76e84e2dc81908badf05b3aafa9ea |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcce7afcd08190906cc3801152656a |
completed | May 7, 2026, 5:40 p.m. |
| PD | Predicate disambiguation | batch_69fcccf140ec8190862d53388a5f40d7 |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 3, 2026, 4:31 p.m.