Triple
T21764517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adela Quested |
E537242
|
entity |
| Predicate | relationshipStatusWithRonnyHeaslop |
P145861
|
FINISHED |
| Object | engagement later broken |
—
|
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 later broken | Statement: [Adela Quested, relationshipStatusWithRonnyHeaslop, engagement later broken]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipStatusWithRonnyHeaslop Context triple: [Adela Quested, relationshipStatusWithRonnyHeaslop, engagement later broken]
-
A.
relationshipToRonnieWinslow
Indicates the specific type of personal or social relationship an entity has with Ronnie Winslow.
-
B.
relationshipTypeWithJoshSrebnick
Indicates the specific nature or category of the relationship that an entity has with Josh Srebnick.
-
C.
relationshipTypeWithRandy "The Ram" Robinson
Indicates the specific nature or category of relationship that an entity has with Randy "The Ram" Robinson.
-
D.
relationshipToRyanPound
Indicates the specific type of relationship or connection that an entity has to Ryan Pound.
-
E.
relationshipToRyanBingham
Indicates the specific type of personal or social relationship an entity has with Ryan Bingham.
- 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_69e0c46f5d1c8190bf830409e98464e5 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f031a8a7f08190a4e50ebc24219585 |
completed | April 28, 2026, 4:03 a.m. |
| PD | Predicate disambiguation | batch_69e6be6299988190a34c98fa76d94700 |
completed | April 21, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69e6d054737081908aa7112975b77475 |
completed | April 21, 2026, 1:18 a.m. |
Created at: April 16, 2026, 6:51 p.m.