Triple
T20478500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carmen |
E502386
|
entity |
| Predicate | hasRelationshipIssue |
P47731
|
FINISHED |
| Object | Engagement tension with Russell |
—
|
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: Engagement tension with Russell | Statement: [Carmen, hasRelationshipIssue, Engagement tension with Russell]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRelationshipIssue Context triple: [Carmen, hasRelationshipIssue, Engagement tension with Russell]
-
A.
hasComplicatedRelationshipWith
chosen
Indicates that one entity is involved in a complex, often ambiguous or difficult-to-define interpersonal or relational dynamic with another entity.
-
B.
hasRelationshipDiscussion
Indicates that there is a conversation or exchange specifically about the nature, status, or issues of a relationship between the entities.
-
C.
hasRelationships
Indicates that an entity is connected to one or more other entities through specified types of relationships.
-
D.
hasAllegedRelationshipWith
Indicates a claimed or suspected relationship between two entities that is not confirmed as factual.
-
E.
hasFamilialTieTo
Indicates a relationship where two entities are connected by family bonds, such as by blood, marriage, or adoption.
- 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_69e0b4af32848190aea80682b44d5d6e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69b54c8188190a71e35fab8d194a6 |
completed | April 20, 2026, 9:32 p.m. |
| PD | Predicate disambiguation | batch_69e5768372988190b08ef8ae67d42ab6 |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:34 a.m.