Triple
T20863731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pookie Adams |
E513691
|
entity |
| Predicate | relationshipTypeWithJerryPayne |
P142155
|
FINISHED |
| Object | tumultuous romance |
—
|
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: tumultuous romance | Statement: [Pookie Adams, relationshipTypeWithJerryPayne, tumultuous romance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipTypeWithJerryPayne Context triple: [Pookie Adams, relationshipTypeWithJerryPayne, tumultuous romance]
-
A.
relationshipToJerryLundegaard
Indicates the specific familial, social, or professional relationship that one entity has to Jerry Lundegaard.
-
B.
relationshipToJackiePeyton
Indicates the specific personal, professional, or social relationship that an entity has to Jackie Peyton.
-
C.
relationshipTypeWithJoshSrebnick
Indicates the specific nature or category of the relationship that an entity has with Josh Srebnick.
-
D.
relationshipTypeWithJonArbuckle
Indicates the specific nature or category of relationship that an entity has with Jon Arbuckle.
-
E.
relationshipTypeWith Hank Evans
Indicates the specific nature or category of the relationship that an entity has with Hank Evans.
- 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_69e0b4f5b01081909452f654d2fc3f50 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c45e51f08190ac1ff59280ad741b |
completed | April 21, 2026, 12:27 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a593f481908beb457c29f1ce73 |
completed | April 20, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e5d53c4d6881909b4d0a716fa5ed4a |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 16, 2026, 12:44 p.m.