Triple
T3289183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jordan Baker |
E69058
|
entity |
| Predicate | hasRelationshipDynamic |
P39999
|
FINISHED |
| Object | ambivalent with Nick Carraway |
—
|
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: ambivalent with Nick Carraway | Statement: [Jordan Baker, hasRelationshipDynamic, ambivalent with Nick Carraway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRelationshipDynamic Context triple: [Jordan Baker, hasRelationshipDynamic, ambivalent with Nick Carraway]
-
A.
hasRelation
Indicates that there exists some specified relationship or association between two entities.
-
B.
hasKeyRelationship
Indicates a relationship where one entity serves as a key (e.g., identifier, access token, or primary reference) that grants access to, controls, or uniquely identifies another entity.
-
C.
relationshipDynamic
chosen
Indicates a changing or evolving pattern of interaction between entities, such as shifts in their roles, closeness, or influence over time.
-
D.
hasDraftRelationshipWith
Indicates a provisional or not-yet-finalized relationship exists between two entities.
-
E.
hasSecurityRelationship
Indicates a relationship in which one entity provides, manages, or is otherwise linked to the security or protection of another entity.
- 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_69ad859d45748190b0742408c954b39f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb05a3e5c819082552a7a911e3230 |
completed | March 8, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69ada421fadc8190b7c7d3c8afd20061 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:10 p.m.