Triple
T25800178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vivian Ludley |
E649801
|
entity |
| Predicate | significantRelationshipImpactOn |
P119483
|
FINISHED |
| Object | Charles Boyle |
—
|
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: Charles Boyle | Statement: [Vivian Ludley, significantRelationshipImpactOn, Charles Boyle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: significantRelationshipImpactOn Context triple: [Vivian Ludley, significantRelationshipImpactOn, Charles Boyle]
-
A.
relationshipImpact
chosen
Indicates how one entity’s relationship with another affects or changes those entities or their interaction.
-
B.
effectOnMaritalRelations
Indicates how an action, event, or condition influences the quality, stability, or dynamics of marital relationships between partners.
-
C.
significantSince
Indicates that a relationship, condition, or status has held particular importance or relevance starting from a specified point in time.
-
D.
significantAfter
Indicates that one event or state occurs after another in a way that is temporally meaningful or non-trivially later, not just immediately or insignificantly afterward.
-
E.
majorRelationship
Indicates a primary or most significant relationship between entities, typically denoting a dominant, central, or most influential connection among possible relationships.
- 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_69e7ab34f8c8819099f6c4dabdabf129 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f63fd6c68481908c542aa03e297b9c |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c6456608190b94e7c2e2c2a4824 |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 22, 2026, 6:37 a.m.