Triple
T19346079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben Chandler |
E483880
|
entity |
| Predicate | relationshipIssue |
P50123
|
FINISHED |
| Object | marital strain with Jessica Chandler |
—
|
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: marital strain with Jessica Chandler | Statement: [Ben Chandler, relationshipIssue, marital strain with Jessica Chandler]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipIssue Context triple: [Ben Chandler, relationshipIssue, marital strain with Jessica Chandler]
-
A.
relationshipConflictWith
Indicates a state of opposition, disagreement, or incompatibility between two entities within a relationship.
-
B.
maritalIssue
chosen
Indicates a relationship where there is conflict, dissatisfaction, or significant strain within a marital or committed partnership.
-
C.
interFamilyRelations
Indicates relationships or interactions that occur between different families or family units.
-
D.
parentalIssue
Indicates that there is a problem, conflict, or difficulty involving a person's relationship or situation with their parent(s).
-
E.
relationshipFocus
Indicates a relationship where particular attention, priority, or emphasis is placed on the connection between two or more entities.
- 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e6185b7d348190ba195056bb32c765 |
completed | April 20, 2026, 12:13 p.m. |
| PD | Predicate disambiguation | batch_69e4dd12303c8190a2027c062b2dff40 |
completed | April 19, 2026, 1:48 p.m. |
Created at: April 10, 2026, 1:34 p.m.