Triple
T20112360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Sloane |
E490364
|
entity |
| Predicate | relationshipStatusWithDaria |
P138734
|
FINISHED |
| Object | ex-boyfriend |
—
|
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: ex-boyfriend | Statement: [Tom Sloane, relationshipStatusWithDaria, ex-boyfriend]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipStatusWithDaria Context triple: [Tom Sloane, relationshipStatusWithDaria, ex-boyfriend]
-
A.
relationshipToDani
Indicates the specific type of relationship or connection that an entity has to Dani.
-
B.
relationshipTypeWithTaniaFedorova
Indicates the specific nature or category of relationship that an entity has with Tania Fedorova.
-
C.
relationshipStatusWithKrista
Indicates the current nature or state of an entity’s relationship with Krista.
-
D.
relationshipToHannah
Indicates the specific type of relationship or connection that an entity has to Hannah.
-
E.
relationshipStatusWithBrian
Indicates the current nature or state of an entity’s personal relationship with Brian.
- F. None of above. chosen
Provenance (4 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_69da62636cc08190982cc71733a17b8d |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e666e21f908190b46c747662ff378a |
completed | April 20, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69e54cf788188190a46cc49c9ce7617f |
completed | April 19, 2026, 9:45 p.m. |
| PDg | Predicate description generation | batch_69e54fc2bc3c819088c33cd263303433 |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 11, 2026, 11:29 p.m.