Triple
T28129652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beth Jarrett |
E711026
|
entity |
| Predicate | relationshipToConradJarrett |
P201070
|
FINISHED |
| Object | mother |
—
|
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: mother | Statement: [Beth Jarrett, relationshipToConradJarrett, mother]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToConradJarrett Context triple: [Beth Jarrett, relationshipToConradJarrett, mother]
-
A.
relationshipToJerryConlaine
Indicates the specific type of relationship or connection an entity has to Jerry Conlaine.
-
B.
relationshipToQuentinJacobsen
Indicates the specific type of relationship or connection an entity has to Quentin Jacobsen.
-
C.
relationshipToJoadFamily
Indicates the specific familial or social connection an entity has with members of the Joad family.
-
D.
relationshipWithGarrettWalker
Indicates that an entity has some form of personal or professional relationship with Garrett Walker.
-
E.
relationshipStatusWithKarenCartwright
Indicates the nature or current state of the relationship that an entity has with Karen Cartwright.
- 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_69ef9b73bd288190a21ae3d6aa14f386 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69ffc605b0648190a7abe9128b0d857a |
completed | May 9, 2026, 11:40 p.m. |
| PD | Predicate disambiguation | batch_69ffc5742d80819099f947ece78d5700 |
completed | May 9, 2026, 11:38 p.m. |
| PDg | Predicate description generation | batch_69ffc60504808190a89990b556b1d5ce |
completed | May 9, 2026, 11:40 p.m. |
Created at: April 27, 2026, 9:22 p.m.