Triple
T25251659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denise Fleming |
E632755
|
entity |
| Predicate | relationshipArcWithPrestonMeyers |
P181020
|
FINISHED |
| Object | strained friendship that reconciles |
—
|
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: strained friendship that reconciles | Statement: [Denise Fleming, relationshipArcWithPrestonMeyers, strained friendship that reconciles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipArcWithPrestonMeyers Context triple: [Denise Fleming, relationshipArcWithPrestonMeyers, strained friendship that reconciles]
-
A.
relationshipTypeWithPrestonMeyers
chosen
Indicates the specific nature or category of relationship that an entity has with Preston Meyers.
-
B.
relationshipTypeWithChrisMyers
Indicates the specific nature or category of relationship that an entity has with Chris Myers.
-
C.
relationshipTypeWith Kate Mercer
Indicates the specific nature or category of the relationship that an entity has with Kate Mercer.
-
D.
relationshipTypeWithMarkMcPherson
Indicates the specific nature or category of relationship that an entity has with Mark McPherson.
-
E.
relationshipToAmyJuergens
Indicates the specific interpersonal or familial connection that an entity has to Amy Juergens.
- 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_69e75a8fdd3881909ba0b05aa5da92a7 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f7626667f48190ad90867eb67ec582 |
completed | May 3, 2026, 2:57 p.m. |
| PD | Predicate disambiguation | batch_69f76175d6608190b60b268e20f49ed9 |
completed | May 3, 2026, 2:53 p.m. |
Created at: April 21, 2026, 1:11 p.m.