Triple
T34120859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacqueline Broyer |
E875125
|
entity |
| Predicate | relationshipTypeWith Marcus Graham |
P205325
|
FINISHED |
| Object | romantic interest |
—
|
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: romantic interest | Statement: [Jacqueline Broyer, relationshipTypeWith Marcus Graham, romantic interest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipTypeWith Marcus Graham Context triple: [Jacqueline Broyer, relationshipTypeWith Marcus Graham, romantic interest]
-
A.
relationshipTypeWithMarcus Brewer
Indicates the specific nature or category of relationship that an entity has with Marcus Brewer.
-
B.
relationshipTypeWithFredGraham
Indicates the specific nature or category of relationship that an entity has with Fred Graham.
-
C.
relationshipTypeWithGraceHanson
Indicates the specific nature or category of relationship an entity has with Grace Hanson.
-
D.
relationshipTypeWith Helen Graham
Indicates the specific nature or category of relationship that an entity has with Helen Graham.
-
E.
relationshipTypeWithMarkMcPherson
Indicates the specific nature or category of relationship that an entity has with Mark McPherson.
- 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_69f349a9271c81909576994c9ef7b179 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f963908190846d232f386fd98f |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c80ba448190853011097a151b7e |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 1:53 a.m.